{"id":"W2062854279","doi":"10.1016/j.aap.2012.12.006","title":"A comparison of static and dynamic hazard perception tests","year":2012,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Queensland","keywords":"Collision; Poison control; Driving simulator; Perception; Simulation; Reliability (semiconductor); Computer science; Hazard; Psychology; Computer security; Medicine; Medical emergency","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001636083,0.000554533,0.0004750358,0.001739008,0.0002403232,0.0006823475,0.001037289,0.000711801,0.00643458],"category_scores_gemma":[0.01048985,0.000321872,0.0004970988,0.0005928258,0.00029458,0.001148951,0.0008695771,0.0003960767,0.0007676226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327905,"about_ca_system_score_gemma":0.0004155536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227968,"about_ca_topic_score_gemma":0.001201756,"domain_scores_codex":[0.9987481,0.0002389576,0.0001233877,0.0001846461,0.0005565943,0.0001483509],"domain_scores_gemma":[0.9909934,0.004823191,0.0004557806,0.0005336882,0.002576426,0.000617497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05706074,0.003831192,0.1130615,0.00120854,0.0004974363,0.0005400361,0.002150508,0.008248437,0.4646473,0.00132035,0.001819977,0.3456139],"study_design_scores_gemma":[0.0009696852,0.05431879,0.7050629,0.0001745407,0.0008955861,0.002875078,0.002912842,0.02990237,0.1960569,0.001684761,0.004809722,0.000336695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776456,0.0004694003,0.0144665,0.00005606387,0.0001129167,0.0001166779,0.000803853,0.0002749636,0.006054027],"genre_scores_gemma":[0.9952295,0.0001613152,0.00227312,0.00006722406,0.00002296854,0.00004330802,0.00054578,0.00006817617,0.001588548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00643458,"threshold_uncertainty_score":0.02152586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142007494609573,"score_gpt":0.3178569276708691,"score_spread":0.3036561782099118,"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."}}