{"id":"W2891629328","doi":"10.1177/0361198118796359","title":"Impact of Train Drivers’ Cognitive Responses on Rail Accidents","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cognition; Poison control; Perception; Human factors and ergonomics; Test (biology); Applied psychology; Injury prevention; Visual perception; Engineering; Psychology; Transport engineering; Medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004949038,0.0002818724,0.000528644,0.001937858,0.0006204214,0.00008571683,0.0009947449,0.0002492766,0.01245207],"category_scores_gemma":[0.0006192204,0.0002057338,0.0007851074,0.001979772,0.00129934,0.0005404667,0.000006436866,0.002089537,0.0003732808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240936,"about_ca_system_score_gemma":0.0007345979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005869494,"about_ca_topic_score_gemma":0.01051376,"domain_scores_codex":[0.9904914,0.003145668,0.001697671,0.000451601,0.003383921,0.0008297654],"domain_scores_gemma":[0.9885741,0.002870189,0.0008246918,0.0005227072,0.006800971,0.0004072788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04003827,0.002024781,0.810686,0.0001163113,0.001660696,0.0002656127,0.05374915,0.0001512184,0.007670988,0.007049834,0.0489993,0.02758783],"study_design_scores_gemma":[0.003230273,0.00393223,0.9804491,0.0004319732,0.00005355773,0.00000169076,0.006195575,0.00002425082,0.001434337,0.0009142148,0.003159556,0.0001731794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993163,0.00003501248,0.0006453692,0.001118007,0.001043617,0.0008874085,0.0002250775,0.00003116037,0.002851275],"genre_scores_gemma":[0.9950925,0.0001098517,0.0001709246,0.00006956289,0.0003180332,0.00005302396,0.00002296533,0.00005400916,0.004109154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1697632,"threshold_uncertainty_score":0.9884507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691407044771047,"score_gpt":0.5242237241419019,"score_spread":0.3550830196647972,"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."}}