{"id":"W2129498873","doi":"10.1111/bjdp.12052","title":"Children's utilization of emotion expectancies in moral decision‐making","year":2014,"lang":"en","type":"article","venue":"British Journal of Developmental Psychology","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Prosocial behavior; Psychology; Anticipation (artificial intelligence); Moral development; Developmental psychology; Moral disengagement; Context (archaeology); Moral reasoning; Social psychology; Social cognitive theory of morality; Set (abstract data type); Relevance (law)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004990514,0.0001100486,0.0002790051,0.0002866889,0.00007026778,0.00001838927,0.0002967966,0.00009716571,0.0001062553],"category_scores_gemma":[0.0005281692,0.0001221616,0.00006908776,0.000367994,0.0001698451,0.0002346252,0.00004394848,0.0002286066,0.0000154575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005667643,"about_ca_system_score_gemma":0.00003732515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003976513,"about_ca_topic_score_gemma":0.00001525926,"domain_scores_codex":[0.998269,0.0001875532,0.0007479809,0.0002457404,0.0003262852,0.0002233913],"domain_scores_gemma":[0.999281,0.0001157609,0.0003958254,0.00006916303,0.00008127608,0.00005691374],"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":[0.0005362435,0.001116993,0.1736272,0.00001535495,0.00002473524,0.0002464092,0.0005515261,0.0001323773,0.06786659,0.0009687845,0.004910892,0.7500029],"study_design_scores_gemma":[0.001589241,0.0002010527,0.9756765,0.0003560309,0.000003861299,0.008902559,0.00006578123,0.00001959576,0.00544759,0.007415418,0.00019647,0.0001258369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925157,0.0001545595,0.004212686,0.0002074353,0.0008786043,0.00008400267,0.000004183212,0.000008877708,0.001933925],"genre_scores_gemma":[0.9917687,0.0002380329,0.006908583,0.0009640694,0.00009363422,0.000001622919,0.00000205896,0.00001055068,0.00001280362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8020494,"threshold_uncertainty_score":0.4981605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08499117584246518,"score_gpt":0.3193565473609381,"score_spread":0.2343653715184729,"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."}}