{"id":"W4298874440","doi":"","title":"Mickey Mouse and moral hazard : uninformative but correlated triggers","year":2001,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moral hazard; Computer science; Economics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00338803,0.0005039628,0.0008019804,0.0008004996,0.0007098595,0.003124009,0.0009051959,0.00198211,0.02228494],"category_scores_gemma":[0.03611866,0.0005729251,0.0006274607,0.0005298005,0.00185997,0.002973732,0.002074004,0.001638364,0.001583924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138345,"about_ca_system_score_gemma":0.0006600426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007475106,"about_ca_topic_score_gemma":0.000548226,"domain_scores_codex":[0.9972812,0.001222827,0.0001239686,0.0005929753,0.0004851877,0.0002938491],"domain_scores_gemma":[0.9847669,0.009102467,0.002276051,0.002244266,0.0007307049,0.0008796588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00189645,0.000507109,0.03737774,0.0003645707,0.000241865,0.001406992,0.002270884,0.01124276,0.01960221,0.8159828,0.01319877,0.09590784],"study_design_scores_gemma":[0.0002410361,0.0004450391,0.04250915,0.0001113623,0.0001358857,0.002368422,0.0007900866,0.0602276,0.003483453,0.8791946,0.01036406,0.0001294124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6569425,0.002021832,0.1713086,0.009356992,0.0008318489,0.0003019371,0.0007542595,0.001072836,0.1574092],"genre_scores_gemma":[0.9836689,0.0003016483,0.005760876,0.0004163783,0.0001117137,0.00007331082,0.00008233797,0.00008939049,0.009495479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02228494,"threshold_uncertainty_score":0.07455063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345204262244974,"score_gpt":0.2418320052322184,"score_spread":0.1983799626097686,"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."}}