{"id":"W2516567720","doi":"10.1177/1541931213601429","title":"Gaming to Safety","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Traffic and Road Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence","keywords":"SAFER; Crash; Driving simulator; Computer science; Human–computer interaction; Visual feedback; Duration (music); Simulation; Audio feedback; Auditory feedback; Engineering; Psychology; Computer security; Artificial intelligence","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":[0.0006866496,0.0009506915,0.0003116992,0.0009655497,0.001000089,0.003654702,0.000588332,0.001215484,0.02420601],"category_scores_gemma":[0.003063702,0.0001799865,0.0005253542,0.0004727582,0.001628361,0.001384372,0.002819261,0.001488153,0.003502247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197342,"about_ca_system_score_gemma":0.001443159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003743341,"about_ca_topic_score_gemma":0.006070648,"domain_scores_codex":[0.9990786,0.0004941174,0.0000362448,0.00009516904,0.0001868503,0.0001090349],"domain_scores_gemma":[0.9987238,0.0004559366,0.00009913721,0.00009391584,0.0002040359,0.0004231329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002861457,0.0003285664,0.00814373,0.001540721,0.0001266368,0.0003645983,0.004670443,0.001332568,0.001991888,0.1124004,0.1225821,0.7462322],"study_design_scores_gemma":[0.00005732974,0.0005923965,0.01243819,0.001968836,0.00007648767,0.002114134,0.003907631,0.001278105,0.0009071843,0.09715374,0.8794515,0.00005431086],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06244944,0.1248878,0.02445914,0.0606162,0.009925383,0.0002566113,0.0007398776,0.0009066973,0.7157589],"genre_scores_gemma":[0.7113563,0.07343238,0.01878737,0.03218062,0.004708508,0.0003826693,0.000706478,0.0002558401,0.1581897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02420601,"threshold_uncertainty_score":0.0809772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00824247989497257,"score_gpt":0.1948920451577949,"score_spread":0.1866495652628223,"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."}}