{"id":"W2058033010","doi":"10.1016/s0022-4375(02)00029-4","title":"Turning gap acceptance decision-making: the impact of driver distraction","year":2002,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":126,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Transport Canada","keywords":"Distraction; Distracted driving; Poison control; Applied psychology; Engineering; Cognition; Driving simulator; Human factors and ergonomics; Active listening; Computer security; Simulation; Psychology; Transport engineering; Computer science; Cognitive psychology; Communication; Medicine; Medical emergency","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002162327,0.0004255774,0.0004275328,0.0005285647,0.0004803421,0.002878388,0.0005145501,0.001281293,0.005745039],"category_scores_gemma":[0.02989424,0.0003806204,0.0003098197,0.0002895631,0.000480389,0.0009629765,0.0006557648,0.001615487,0.000644261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004632997,"about_ca_system_score_gemma":0.001046849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222168,"about_ca_topic_score_gemma":0.002372914,"domain_scores_codex":[0.998047,0.0007586237,0.00008563769,0.0002880463,0.0005195752,0.0003010936],"domain_scores_gemma":[0.9702772,0.0232289,0.002581826,0.000822775,0.001480771,0.001608609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03065808,0.008743491,0.6264307,0.0005890633,0.0009480914,0.001233316,0.01878802,0.01009845,0.1263345,0.006164226,0.005054672,0.1649573],"study_design_scores_gemma":[0.000888251,0.003744887,0.9382048,0.000121858,0.0004845878,0.0005012309,0.008294805,0.02528272,0.01106129,0.008530788,0.002684919,0.0001999143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958234,0.00008150243,0.0006619435,0.000177503,0.0000387847,0.00001849343,0.00003661326,0.00001603688,0.003145743],"genre_scores_gemma":[0.9991332,0.00003507748,0.000270985,0.00008791179,0.00001140391,0.00001664894,0.00003775624,0.0000162988,0.0003907625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005745039,"threshold_uncertainty_score":0.0192191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394940008577974,"score_gpt":0.5122548202597926,"score_spread":0.3727608194019952,"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."}}