{"id":"W4415821730","doi":"10.1109/itc58126.2025.00031","title":"Holistic Validation Pattern Generation for IEEE 1687 and Streaming Scan Networks","year":2025,"lang":"","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Leverage (statistics); Scalability; Automatic test pattern generation; Design for testing; Testability; Test (biology); Model validation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005897386,0.0004658365,0.0001962232,0.0006120918,0.0002268945,0.0004545713,0.000694021,0.0004716388,0.001587462],"category_scores_gemma":[0.002280211,0.0001890898,0.0003045311,0.0004190001,0.0004432334,0.0006601451,0.0004979334,0.0003533837,0.0003347011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030544,"about_ca_system_score_gemma":0.0008684182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009654652,"about_ca_topic_score_gemma":0.001827528,"domain_scores_codex":[0.9990582,0.0002039735,0.00005677627,0.0001699205,0.0004214957,0.00008965957],"domain_scores_gemma":[0.9986691,0.0003895875,0.0001974962,0.0003271482,0.0003794569,0.00003721929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004553777,0.0001630618,0.0088255,0.000296042,0.00006767894,0.0008567059,0.0002466504,0.1972314,0.1993342,0.03103472,0.005340172,0.5561484],"study_design_scores_gemma":[0.0000387598,0.000435191,0.001748434,0.0000376584,0.00004127487,0.0008613762,0.00007855649,0.8023771,0.166607,0.0173709,0.01037591,0.00002779459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1172273,0.0001572628,0.8748119,0.000187747,0.00004444336,0.0001930583,0.0002526482,0.001987099,0.005138465],"genre_scores_gemma":[0.6520156,0.0001056514,0.3441743,0.0001182125,0.00001446413,0.0002158719,0.0006378827,0.0002197312,0.00249832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001587462,"threshold_uncertainty_score":0.005310535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591532459732943,"score_gpt":0.293946239085775,"score_spread":0.2347929931124807,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}