{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000503818,0.00022601,0.0002259435,0.0001616222,0.0006155712,0.000996717,0.0002919967,0.0001253366,0.00001130172],"category_scores_gemma":[0.0001234499,0.0002372429,0.0000657014,0.0004172416,0.00004959335,0.0004931654,0.0001026523,0.0001313512,0.000002540706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007146057,"about_ca_system_score_gemma":0.0001230676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001831393,"about_ca_topic_score_gemma":0.0001183484,"domain_scores_codex":[0.9982261,0.00008118634,0.000446909,0.0006834216,0.0001452185,0.0004171703],"domain_scores_gemma":[0.9989237,0.000289893,0.0001526441,0.000341478,0.0001957952,0.00009648637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[1.541286e-7,0.00002916781,0.004675458,0.00007173128,0.00002368385,0.000001785602,0.0001485845,0.00989106,0.001288043,0.003312979,0.0006902081,0.9798672],"study_design_scores_gemma":[0.0004036372,0.00006917033,0.002285372,0.0001761146,0.00006043174,0.000005210884,0.00003876311,0.9946285,0.001458494,0.0005360165,0.0001010538,0.0002371807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05327171,0.0003999434,0.9429915,0.0004143613,0.001658435,0.0003749717,0.000006087913,0.0000832214,0.0007997455],"genre_scores_gemma":[0.9963548,0.00006394586,0.001212593,0.0007334356,0.0007234435,0.0000272345,0.00003171615,0.00001060273,0.0008421835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847375,"threshold_uncertainty_score":0.9674485,"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."}}