{"id":"W4414752438","doi":"10.7554/elife.101371.3","title":"Balancing safety and efficiency in human decision-making","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Dilemma; Punishment (psychology); Simple (philosophy); Face (sociological concept); Virtual reality; Avoidance behaviour; Computational model","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672089,0.0003768062,0.0003031144,0.0003441098,0.0003955543,0.002088096,0.0004700311,0.000769719,0.001937201],"category_scores_gemma":[0.006403982,0.0002437996,0.0003406526,0.000217154,0.002702089,0.002180682,0.001274317,0.0008559211,0.0003229829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008125551,"about_ca_system_score_gemma":0.0009397329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256825,"about_ca_topic_score_gemma":0.0009088832,"domain_scores_codex":[0.998836,0.0005792614,0.00005755118,0.0001838591,0.0002048427,0.0001386249],"domain_scores_gemma":[0.9979205,0.001111483,0.0004031353,0.0002476341,0.0001307768,0.0001865732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009426762,0.0002408972,0.0293007,0.0004377718,0.0003835312,0.0004031346,0.003683409,0.3547586,0.07224903,0.3908478,0.00165029,0.1451021],"study_design_scores_gemma":[0.00007898916,0.0003279616,0.01448011,0.00006217777,0.00005993308,0.0001993339,0.0007082272,0.3082176,0.009098641,0.6637311,0.00294234,0.00009365071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7043868,0.0004433953,0.2717714,0.00157272,0.0000392568,0.00004185441,0.00005172216,0.0002463546,0.02144654],"genre_scores_gemma":[0.9883745,0.00007591938,0.01102158,0.00004834979,0.000006869542,0.00001174194,0.00001056541,0.00001572317,0.0004348086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002088096,"threshold_uncertainty_score":0.008842945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160463442761068,"score_gpt":0.3846742407574381,"score_spread":0.3730696063298274,"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."}}