{"id":"W2895577581","doi":"10.1371/journal.pone.0204631","title":"Deciphering moral intuition: How agents, deeds, and consequences influence moral judgment","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Social cognitive theory of morality; Intuition; Social intuitionism; Consequentialism; Moral disengagement; Moral psychology; Psychology; Deliberation; Epistemology; Moral reasoning; Deontological ethics; Social psychology; Moral development; Normative ethics; Moral character; Morality; Moral authority; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005855893,0.0003527739,0.0004351398,0.0008485823,0.0005834934,0.004909569,0.0005171053,0.00120579,0.003319716],"category_scores_gemma":[0.06739054,0.000656113,0.0003393473,0.0004212855,0.002585476,0.004925434,0.001892275,0.001822636,0.0003908311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009747252,"about_ca_system_score_gemma":0.0005986522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462992,"about_ca_topic_score_gemma":0.001661743,"domain_scores_codex":[0.9942715,0.004122011,0.0001446882,0.0006480626,0.0006016197,0.0002120135],"domain_scores_gemma":[0.9399095,0.04999042,0.004581613,0.002587728,0.001668851,0.001262109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00711655,0.003536824,0.4427815,0.001582867,0.000792076,0.00105098,0.06835943,0.02533956,0.112106,0.07586461,0.002546747,0.2589227],"study_design_scores_gemma":[0.0002934289,0.001335383,0.8356346,0.0002367537,0.000259641,0.0005293399,0.008244712,0.03807209,0.01350325,0.09772241,0.003827257,0.0003411651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846857,0.0001643276,0.003899981,0.0003006722,0.00001421115,0.00003660559,0.00002414038,0.00003197769,0.01084241],"genre_scores_gemma":[0.9977394,0.0000613497,0.001762823,0.00007158114,0.000006553454,0.00001695881,0.00002529517,0.00001826603,0.0002977577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005855893,"threshold_uncertainty_score":0.03096926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2501815890207175,"score_gpt":0.2795924889655594,"score_spread":0.02941089994484192,"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."}}