fix(iace): set-based measure-category filter + 235 pattern-author fixes

Two-part nachhaltiger fix replacing the previous "fill to 5 mitigations
no matter what" behavior that the GT-Bremse benchmark proved
unfaithful (e.g. HP1625 "scharfe Kanten" returning M005 "Rotations-
bewegung vermeiden" via category fallback; HP1651 "Wiederanlauf
Roboter" returning M054 "Sichere thermische Auslegung" via
mismatched pattern reference).

PART A — Set-based category filter (handlers package):
- acceptableMeasureCategories: replaces 1:1 patternCatToMeasureCat
  with a curated set per pattern category, so e.g.
  safety_function_failure now accepts software_control measures
  (watchdogs, plausibility checks) and emc_hazard accepts both
  electrical and software_control measures
- isCategoryCompatible: gate every measure id against the accepted
  set before creating a mitigation; mismatches log MEASURE-SKIP
- The old category fallback is REMOVED. A hazard whose pattern has
  no category-compatible measure is now created with zero mitigations
  and logged as COVERAGE-GAP — the operator must consult an expert.
  No more silent invention of generic defaults.

PART B — 235 pattern author-error fixes across 26 files:
- HP040-HP044 (AI): M101/M102/M103 (Auffangwanne/Absauganlage) ->
  M133 Anomalieerkennung + M214 Plausibilitaet + M213 Sensor-Redundanz
  + M044 Zweikanalige Steuerung + others
- HP011-HP015, HP104-HP109, HP1085-HP1095, HP1281-HP1334 (electrical):
  M001-M005/M054/M061 placeholders -> M481/M482 Isolation +
  M511-M522 PE/Schutzleiter/RCD/Hauptschalter
- HP110-HP1331 (material_environmental): M101-M103 -> M384-M395
  Brandschutz/Laserschutz + M533/M408 SDB/PSA
- HP800-HP858, HP1178-HP1264 (software/sensor/hmi):
  M101/M104 -> M105/M106/M107/M214 SPS/Watchdog/Plausibilitaet
- HP026, HP611-HP1690 (ergonomic): M001/M082 -> M353-M360 +
  M530-M532 Hebehilfe/ergonomische Hoehe
- HP201-HP1697 (mechanical): M054/M051 -> M002/M008/M061/M141 +
  M487/M488 Tueroeffnung-Stillsetzung/Wiederanlauf
- Plus EMF/Strahlung/Brand/Lärm/Vibration/Kommunikation/Cyber

Coverage shift (Pattern-Author-Fehler bei aktiviertem Set-Filter):
   start:         237 patterns with zero category-compatible measures
   after Stufe 1A:   5 (AI)
   after Stufe 1B:  20 (mechanical Bestand)
   after Stufe 1C:  35 (electrical Bestand)
   after Stufe 1D:  29 (material_environmental)
   after Stufe 1E:  29 (software/sensor/hmi)
   after Stufe 1F:  20 (ergonomic)
   after Stufe 1G:  80 (thermal/comm/radiation/fire/safety)
   final:           0  (28 extended.go/extended2.go duplicates fixed)

New regression tests:
- TestEveryPattern_HasCategoryCompatibleMeasure: every pattern in
  collectAllPatterns() must reference at least one category-compatible
  measure; gaps must be explicitly listed in AllowlistKnownGaps
  (currently empty). Fails CI for any new pattern that drifts.
- TestAcceptableMeasureCategories: pins the set-mapping for the
  7 most-bug-prone pattern categories.
- TestIsCategoryCompatible_EmptyMeasureCat: protects legacy entries.

A separate task #11 tracks 58 HP-ID duplicates between
extended.go/extended2.go and cobot.go/press.go/operational.go —
patterns are semantically different and TestGetBuiltinHazardPatterns_-
UniqueIDs misses them because it only checks HP001-HP044.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

ai-compliance-sdk/internal/iace/hazard_patterns_ai.go

@@ -8,7 +8,7 @@ func builtinAIPatterns() []HazardPattern {
 			RequiredComponentTags: []string{"has_ai"},
 			RequiredEnergyTags:    []string{"ai_model"},
 			GeneratedHazardCats:   []string{"false_classification"},
-			SuggestedMeasureIDs:   []string{"M101", "M102"},
+			SuggestedMeasureIDs:   []string{"M133", "M214", "M213", "M044", "M119"},
 			SuggestedEvidenceIDs:  []string{"E01", "E15"},
 			Priority:              90,
 			ScenarioDE:      "KI-Modell klassifiziert Objekt oder Zustand falsch und loest darauf basierend eine gefaehrliche Aktion aus.",
@@ -23,7 +23,7 @@ func builtinAIPatterns() []HazardPattern {
 			RequiredComponentTags: []string{"has_ai"},
 			RequiredEnergyTags:    []string{"ai_model"},
 			GeneratedHazardCats:   []string{"model_drift"},
-			SuggestedMeasureIDs:   []string{"M103"},
+			SuggestedMeasureIDs:   []string{"M133", "M227", "M214", "M112"},
 			SuggestedEvidenceIDs:  []string{"E01", "E15"},
 			Priority:              85,
 			ScenarioDE:      "KI-Modell verliert ueber Zeit an Genauigkeit, weil sich Eingangsdaten schleichend veraendern.",
@@ -38,7 +38,7 @@ func builtinAIPatterns() []HazardPattern {
 			RequiredComponentTags: []string{"has_ai"},
 			RequiredEnergyTags:    []string{"cyber", "ai_model"},
 			GeneratedHazardCats:   []string{"data_poisoning"},
-			SuggestedMeasureIDs:   []string{"M101", "M116"},
+			SuggestedMeasureIDs:   []string{"M188", "M133", "M113", "M214", "M187"},
 			SuggestedEvidenceIDs:  []string{"E01", "E15", "E16"},
 			Priority:              85,
 			ScenarioDE:      "Angreifer manipuliert Trainingsdaten oder Eingangssignale, um das KI-Modell gezielt zu taeuschen.",
@@ -53,7 +53,7 @@ func builtinAIPatterns() []HazardPattern {
 			RequiredComponentTags: []string{"has_ai"},
 			RequiredEnergyTags:    []string{"ai_model"},
 			GeneratedHazardCats:   []string{"unintended_bias"},
-			SuggestedMeasureIDs:   []string{"M101"},
+			SuggestedMeasureIDs:   []string{"M133", "M227", "M204"},
 			SuggestedEvidenceIDs:  []string{"E01", "E15"},
 			Priority:              75,
 			ScenarioDE:      "KI-Modell trifft systematisch ungleiche Entscheidungen fuer bestimmte Personengruppen oder Bedingungen.",
@@ -68,7 +68,7 @@ func builtinAIPatterns() []HazardPattern {
 			RequiredComponentTags: []string{"has_ai", "sensor_part"},
 			RequiredEnergyTags:    []string{},
 			GeneratedHazardCats:   []string{"sensor_spoofing"},
-			SuggestedMeasureIDs:   []string{"M101", "M102"},
+			SuggestedMeasureIDs:   []string{"M213", "M214", "M119", "M133"},
 			SuggestedEvidenceIDs:  []string{"E01", "E15"},
 			Priority:              80,
 			ScenarioDE:      "Sensor, der KI-Eingangsdaten liefert, wird manipuliert oder liefert durch Verschmutzung/Defekt falsche Werte.",