{"id":"W4283739058","doi":"10.1109/ets54262.2022.9810365","title":"ETS 2022 Panel Discussion","year":2022,"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":"Siemens (Canada)","funders":"","keywords":"Automatic test pattern generation; Mixed-signal integrated circuit; Task (project management); Computer science; Computer engineering; Selection (genetic algorithm); Algorithm; Fault (geology); State (computer science); Electronic circuit; Digital electronics; Estimation; Theoretical computer science; Integrated circuit; Machine learning; Engineering; Electrical engineering; Systems engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007220684,0.001346892,0.0007656741,0.001200203,0.002924778,0.007266557,0.002524897,0.02998977,0.1284529],"category_scores_gemma":[0.009144478,0.0005626225,0.002013511,0.001316473,0.0009293765,0.003177422,0.002241444,0.009629968,0.09012165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004200811,"about_ca_system_score_gemma":0.008747583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250389,"about_ca_topic_score_gemma":0.01615183,"domain_scores_codex":[0.9966594,0.0003564405,0.0001263518,0.0006132916,0.001581681,0.0006628265],"domain_scores_gemma":[0.9953054,0.001105444,0.0001626649,0.0003157811,0.00250683,0.0006039097],"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":[0.00006384722,0.00003752783,0.0002078593,0.00008253042,0.000006842661,0.00009215401,0.00002037292,0.0001371846,0.0003351218,0.004461039,0.9887344,0.00582094],"study_design_scores_gemma":[0.00002573252,0.00001848151,0.00128133,0.0001569713,0.000009626029,0.00002656048,0.00004376661,0.00007845039,0.0002168731,0.001988581,0.9961384,0.00001516563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002504675,0.004294341,0.002411832,0.2587459,0.1101275,0.001904209,0.02319065,0.0007062769,0.5961146],"genre_scores_gemma":[0.008962424,0.001590336,0.001459389,0.2736802,0.0195419,0.001835882,0.005141391,0.0002111087,0.6875774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8715472,"threshold_uncertainty_score":0.4297176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03453987174596114,"score_gpt":0.2360527614157173,"score_spread":0.2015128896697562,"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."}}