{"id":"W4237248965","doi":"10.4018/978-1-5225-8356-1.ch027","title":"The HRA-Based Road Crash Data","year":2019,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Crash; Human reliability; Reliability (semiconductor); Data collection; Human error; Risk assessment; Process (computing); Risk analysis (engineering); Transport engineering; Engineering; Computer science; Reliability engineering; Computer security; Business; Statistics","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":[0.0007231861,0.0005292802,0.0004399889,0.003490468,0.0002685622,0.001142851,0.0008073205,0.0006412923,0.01445382],"category_scores_gemma":[0.00301707,0.0001920318,0.0005615219,0.00404136,0.0001363407,0.0009769575,0.0005303214,0.0005905812,0.01738804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367428,"about_ca_system_score_gemma":0.0006650229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051261,"about_ca_topic_score_gemma":0.008476354,"domain_scores_codex":[0.9992581,0.000112253,0.00009463797,0.000155628,0.0003415948,0.0000378276],"domain_scores_gemma":[0.997413,0.0004951681,0.0001527358,0.0006221764,0.001245252,0.00007166372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000649988,0.0005938375,0.07348663,0.001611945,0.0002946848,0.000831347,0.0004584341,0.04684192,0.0141309,0.00587292,0.2232042,0.6320232],"study_design_scores_gemma":[0.00007042374,0.0004857005,0.2833367,0.0004521166,0.0001911443,0.001516354,0.0008436181,0.1855446,0.02211435,0.007553391,0.4976259,0.0002656645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1089112,0.001875221,0.03701815,0.0008872828,0.0003848577,0.0005999509,0.7932838,0.007373236,0.04966636],"genre_scores_gemma":[0.2936006,0.001522732,0.04430751,0.0001977974,0.0001479929,0.0005633537,0.636111,0.0003940868,0.02315494],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01445382,"threshold_uncertainty_score":0.0483529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113073834353845,"score_gpt":0.3617105477407583,"score_spread":0.2504031643053738,"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."}}