{"id":"W4387169745","doi":"10.3390/s23198150","title":"Comparison of Experienced and Novice Drivers’ Visual and Driving Behaviors during Warned or Unwarned Near–Forward Collisions","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Collision; Driving simulator; Brake; License; Cognition; Poison control; Computer science; Simulation; Psychology; Computer security; Engineering; Medicine; Medical emergency; Automotive engineering","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":[0.0003048402,0.000344249,0.0002403727,0.0003464266,0.0001206261,0.0002818908,0.0001730865,0.0002995861,0.000785411],"category_scores_gemma":[0.001296888,0.0001100047,0.0002668287,0.00007991955,0.0002002974,0.0002206263,0.00040608,0.0002386206,0.0001858187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008089409,"about_ca_system_score_gemma":0.0001296792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057171,"about_ca_topic_score_gemma":0.002008376,"domain_scores_codex":[0.9997689,0.0000378325,0.00002408914,0.00005833017,0.00005217132,0.00005869607],"domain_scores_gemma":[0.9990804,0.0001414758,0.0002145371,0.00007292285,0.0001841621,0.0003065076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003953308,0.004442837,0.7712439,0.0003612033,0.0003276615,0.0008121356,0.005421363,0.0008805516,0.1387413,0.0000549513,0.000296739,0.07346395],"study_design_scores_gemma":[0.00002281624,0.005652819,0.9869934,0.000007664674,0.0000409311,0.0002432906,0.001293826,0.0004468431,0.00486735,0.00002818403,0.0003822235,0.0000206259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998358,0.00001652581,0.00005343259,0.00000161013,0.000001235422,0.00000414145,0.000009128988,0.000001138568,0.00007698469],"genre_scores_gemma":[0.9992439,0.00004704256,0.0001631293,0.000007807186,0.000002870594,0.00001039438,0.00006543857,9.779643e-7,0.0004585293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001057171,"threshold_uncertainty_score":0.002627432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138585813063569,"score_gpt":0.4302715351488299,"score_spread":0.3888856770181943,"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."}}