{"id":"W4254233783","doi":"10.1109/tiv.2020.3010138","title":"IEEE Transactions on Intelligent Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Automotive engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001845112,0.0006654384,0.0005620928,0.0003771382,0.0004771345,0.00007083015,0.0006183225,0.0005641716,0.0008923375],"category_scores_gemma":[0.000005029947,0.0006949777,0.0004810358,0.0006485839,0.0002661737,0.0002367302,0.000001292028,0.00166609,0.002477056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874662,"about_ca_system_score_gemma":0.00005851695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003050242,"about_ca_topic_score_gemma":0.0000698582,"domain_scores_codex":[0.9971647,0.00009304515,0.0008350246,0.0007226163,0.0004273427,0.0007572764],"domain_scores_gemma":[0.9985446,0.0002688075,0.00008045052,0.0006181914,0.0000803623,0.0004075774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003945395,0.0004587118,0.00001377758,0.0001107936,0.0004356216,0.00003735171,0.001534899,0.6600399,0.01140738,0.0002631918,0.0007045196,0.3245993],"study_design_scores_gemma":[0.0004018949,0.0006532565,0.00003503105,0.00009545618,0.0001328506,0.0000211357,0.0005934419,0.1268976,0.8628443,0.0003069376,0.007274818,0.0007432198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1192423,0.0002000469,0.8740423,0.001260245,0.001224711,0.0005181454,0.0001430468,0.002577374,0.000791838],"genre_scores_gemma":[0.9960106,0.001435646,0.0007118312,0.0009908779,0.0001166934,0.000161997,0.000004858755,0.0001580408,0.0004094469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8767683,"threshold_uncertainty_score":0.9995502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575328437769644,"score_gpt":0.2326011493624129,"score_spread":0.2068478649847164,"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."}}