{"id":"W4392864049","doi":"10.1177/00187208241237860","title":"An Automobile’s Tail Lights: Sacrificing Safety for Playful Design?","year":2024,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Counterintuitive; Converse; Task (project management); Arrow; Driving simulator; Stroop effect; Confusion; Computer science; Poison control; Cognitive psychology; Simulation; Cognition; Psychology; Communication; Engineering; Mathematics","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":[0.001100536,0.0004821123,0.0001166344,0.0001632647,0.0002272357,0.0008367415,0.0005403146,0.0003687898,0.003638079],"category_scores_gemma":[0.003261294,0.0001559951,0.0001374479,0.0000735524,0.0007029035,0.0007358767,0.0005488084,0.0002418175,0.0005331415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020613,"about_ca_system_score_gemma":0.0002157663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003575472,"about_ca_topic_score_gemma":0.000751577,"domain_scores_codex":[0.9995435,0.000261215,0.00002126006,0.00005176382,0.00008794345,0.00003435255],"domain_scores_gemma":[0.9989858,0.0004802028,0.000141945,0.0001491943,0.0001450176,0.00009771591],"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":[0.003361158,0.0008799073,0.02032276,0.002066615,0.000128386,0.0008059462,0.0109968,0.002490383,0.4478255,0.02641091,0.00575701,0.4789546],"study_design_scores_gemma":[0.0009390864,0.02329594,0.1222468,0.001764459,0.0007815898,0.004444675,0.02154656,0.04428205,0.3184371,0.04765522,0.4142771,0.0003294626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240083,0.0008058515,0.05711294,0.001110594,0.000141453,0.0001539776,0.00003768529,0.0004870225,0.01614218],"genre_scores_gemma":[0.9554358,0.0003312934,0.03873517,0.0002899321,0.00003279971,0.0001413023,0.00003012077,0.00007662374,0.004926905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003638079,"threshold_uncertainty_score":0.01217061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082785216763575,"score_gpt":0.3429659463597923,"score_spread":0.2921380941921565,"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."}}