{"id":"W4388821093","doi":"10.1109/ats59501.2023.10318022","title":"Industry Session I: On Automotive Testing","year":2023,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Automotive industry; Session (web analytics); Quality (philosophy); Time to market; Test (biology); Test strategy; Automotive electronics; Computer science; Manufacturing engineering; Reliability engineering; Fault (geology); Engineering; Automotive engineering; Operating system","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":[0.003813916,0.002624357,0.001036028,0.002029156,0.003266685,0.005013968,0.001588568,0.006911571,0.1458771],"category_scores_gemma":[0.003380331,0.0006591512,0.001226434,0.00146436,0.0007944612,0.003324298,0.006208019,0.005359876,0.1164497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282218,"about_ca_system_score_gemma":0.002650735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290151,"about_ca_topic_score_gemma":0.003658565,"domain_scores_codex":[0.9974926,0.0004746831,0.00008731745,0.000488607,0.000804049,0.0006528349],"domain_scores_gemma":[0.9955589,0.0003609069,0.0001209888,0.0001932595,0.00189905,0.001867063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000119647,0.0001785377,0.0004440442,0.0002256382,0.00001211978,0.0001815774,0.0001763297,0.000305911,0.002582383,0.002616083,0.9203221,0.07283567],"study_design_scores_gemma":[0.00001945801,0.000186795,0.0008932106,0.0002822334,0.000009091545,0.0002219989,0.0002783986,0.0002786214,0.0007541451,0.002001297,0.9950513,0.00002345177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01110913,0.05020265,0.03192252,0.1198505,0.1927566,0.002101174,0.002223799,0.002553221,0.5872804],"genre_scores_gemma":[0.04026759,0.0183811,0.007180543,0.03531826,0.06202138,0.001210605,0.003537152,0.001329077,0.8307543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1458771,"threshold_uncertainty_score":0.4880075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08204957130390911,"score_gpt":0.2930687504635943,"score_spread":0.2110191791596852,"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."}}