{"id":"W4244433422","doi":"10.1109/cavs.2019.8887839","title":"CAVS 2019 Panel","year":2019,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Institute of Standards and Technology","keywords":"Standardization; Interoperability; Session (web analytics); Reliability (semiconductor); Computer science; Energy consumption; Safety standards; Test (biology); Efficient energy use; Risk analysis (engineering); Engineering management; Reliability engineering; Business; 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":[0.004030672,0.000914071,0.0004792543,0.001211905,0.002777027,0.005387707,0.001847418,0.008895227,0.4549166],"category_scores_gemma":[0.0067589,0.0005705204,0.00117585,0.0009317385,0.0008400998,0.002326739,0.001833269,0.005133646,0.3324636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479239,"about_ca_system_score_gemma":0.006691225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119507,"about_ca_topic_score_gemma":0.02855312,"domain_scores_codex":[0.9971684,0.0002367453,0.000106009,0.0003864841,0.001682744,0.0004196015],"domain_scores_gemma":[0.9928329,0.0005480191,0.0001904737,0.0003186951,0.004976343,0.00113356],"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":[0.00002107364,0.00001137075,0.0000744917,0.00002971528,0.000001369187,0.00003224431,0.000009192363,0.00003325073,0.0002939364,0.00119516,0.9913477,0.006950552],"study_design_scores_gemma":[0.000005264463,0.00001220562,0.0002170405,0.00003408662,0.000001376191,0.0000239219,0.00003041474,0.00005847067,0.0001414945,0.0003238202,0.9991461,0.00000582613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00156247,0.001435316,0.003662559,0.0530211,0.04347479,0.0006975236,0.004690989,0.002119686,0.8893356],"genre_scores_gemma":[0.006379321,0.0004637435,0.0009562093,0.008845034,0.002971041,0.0002051377,0.002693059,0.0006410503,0.9768454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4549166,"threshold_uncertainty_score":0.7774953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00509107935922335,"score_gpt":0.1635986914692898,"score_spread":0.1585076121100664,"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."}}