{"id":"W4231356334","doi":"10.32920/ryerson.14649546.v1","title":"Effects of age, experience and training on hazard perception","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hazard; Perception; Training (meteorology); Psychology; Crash; Hazard ratio; Applied psychology; Computer science; Medicine; Geography","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":[0.0007840556,0.0003382603,0.0002811495,0.0002205912,0.0001924257,0.0003169429,0.000181605,0.0003325437,0.002530504],"category_scores_gemma":[0.003730609,0.0001268772,0.0002546733,0.0001156886,0.0002194829,0.000248744,0.0004262538,0.000236751,0.0001928557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001710738,"about_ca_system_score_gemma":0.0001846479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173157,"about_ca_topic_score_gemma":0.00280096,"domain_scores_codex":[0.9995815,0.0001205715,0.00003315381,0.00009053385,0.00006568192,0.000108596],"domain_scores_gemma":[0.9968175,0.001560006,0.0004975683,0.000140904,0.0002450925,0.0007389227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02085219,0.01466937,0.8273123,0.000284425,0.0005203451,0.0006084161,0.004029589,0.001200572,0.03367504,0.0001239086,0.0004797167,0.09624426],"study_design_scores_gemma":[0.00003386986,0.005141631,0.9931125,0.00000909,0.00005622987,0.00005416818,0.0002947907,0.0002028236,0.0008209125,0.00002909061,0.0002378369,0.000007063445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995136,0.0001131315,0.00002819878,0.000007524492,0.000004425324,0.000005575731,0.0000193201,0.000001518164,0.0003066999],"genre_scores_gemma":[0.9990249,0.00009179779,0.00008710208,0.00001246971,0.00000608521,0.00001277167,0.00004060706,0.000001140775,0.0007232513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530504,"threshold_uncertainty_score":0.008465409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640554111401794,"score_gpt":0.2383161434251769,"score_spread":0.2219106023111589,"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."}}