{"id":"W2001323931","doi":"10.4271/2011-01-0587","title":"A Study of Crash Rates for Vehicles with Advanced Crash Avoidance Features","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Aeronautics; Computer science; Collision avoidance; Computer security; Automotive engineering; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007661924,0.0002664278,0.0001935251,0.001423739,0.0002574312,0.0002925193,0.0002858382,0.000223173,0.001650968],"category_scores_gemma":[0.004052263,0.0001355311,0.0003123715,0.0007182775,0.0001620194,0.0005136293,0.0002645936,0.0003077859,0.0003988089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521441,"about_ca_system_score_gemma":0.0003382009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590363,"about_ca_topic_score_gemma":0.02557785,"domain_scores_codex":[0.9991193,0.0002791134,0.00005595205,0.0001456318,0.0003274049,0.00007248954],"domain_scores_gemma":[0.9961718,0.001888075,0.0005484417,0.0002403313,0.001012078,0.000139318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005718655,0.00052355,0.9656925,0.00006399256,0.0001213909,0.000309355,0.001263452,0.001946112,0.004329508,0.0002277824,0.0005866019,0.02436382],"study_design_scores_gemma":[0.000008755049,0.002762173,0.9901769,0.00000875438,0.0000375643,0.000382113,0.00124074,0.002261214,0.002260755,0.00003403453,0.0008104112,0.00001665806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983472,0.00002433321,0.0002993238,0.000008186496,0.000002259724,0.00003001993,0.0002291846,0.000006459014,0.001053066],"genre_scores_gemma":[0.9977143,0.00005383639,0.0005678383,0.000006371096,0.000003786713,0.00002542556,0.0007221926,0.000003421914,0.0009028587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01590363,"threshold_uncertainty_score":0.03162211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199483899951873,"score_gpt":0.2394559215878526,"score_spread":0.2274610825883339,"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."}}