{"id":"W3125957095","doi":"10.4271/2021-01-0869","title":"Effectiveness of Advanced Driver Assistance Systems in Preventing System-Relevant Crashes","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Traffic and Road Safety","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Crash; Advanced driver assistance systems; Aeronautics; Pedestrian; Engineering; Computer science; Automotive engineering; Transport engineering; Artificial intelligence","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":[0.001238416,0.0002338815,0.000256705,0.0007163498,0.0002166556,0.0006190145,0.0004867363,0.0002661879,0.001970957],"category_scores_gemma":[0.00517791,0.000147509,0.0008665741,0.0003817902,0.0001688441,0.0005496838,0.0007705152,0.0004101778,0.0004164639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004863152,"about_ca_system_score_gemma":0.0006418757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007109884,"about_ca_topic_score_gemma":0.009900115,"domain_scores_codex":[0.9990921,0.0002752639,0.0001047529,0.0002093107,0.0001744717,0.0001440766],"domain_scores_gemma":[0.9979024,0.0005200893,0.0008603632,0.0001928871,0.0002540564,0.0002702324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009868944,0.0005719591,0.9471372,0.0002472578,0.0003919385,0.00005732429,0.0001456805,0.0008845485,0.0002391489,0.0001558384,0.001296656,0.04788556],"study_design_scores_gemma":[0.00008678504,0.001655161,0.9938679,0.0001136482,0.0002349125,0.0001175953,0.0002162482,0.001561959,0.000273656,0.0001080128,0.001749187,0.00001494073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949771,0.0007718634,0.0003382524,0.0001617495,0.00002470432,0.00005144661,0.00174525,0.00002781192,0.001901909],"genre_scores_gemma":[0.9982522,0.0003499444,0.0002093692,0.00003884379,0.00001328009,0.00002176889,0.0007993773,0.000003535302,0.0003115234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007109884,"threshold_uncertainty_score":0.01413697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068478244302564,"score_gpt":0.3076129225175466,"score_spread":0.296928140074521,"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."}}