{"id":"W3104001696","doi":"10.1371/journal.pone.0241144","title":"Moral “foundations” as the product of motivated social cognition: Empathy and other psychological underpinnings of ideological divergence in “individualizing” and “binding” concerns","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Ideology; Empathy; Existentialism; Harm; Epistemology; Social cognitive theory of morality; Moral psychology; Psychology; Moral disengagement; Social psychology; Politics; Cognition; Sociology; Philosophy; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00390833,0.0002143964,0.0002487286,0.001342367,0.000951839,0.003078708,0.0004080367,0.001050439,0.001757363],"category_scores_gemma":[0.01464707,0.0002289149,0.0002855803,0.0005129935,0.007815242,0.002729341,0.002563359,0.001979363,0.00005994369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034154,"about_ca_system_score_gemma":0.001035573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006984054,"about_ca_topic_score_gemma":0.0006470729,"domain_scores_codex":[0.9974682,0.001265716,0.00005278843,0.0002550736,0.0007197272,0.0002384096],"domain_scores_gemma":[0.9906477,0.005183872,0.002085783,0.0006170426,0.0007249803,0.0007405741],"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":[0.000607526,0.0009540578,0.2115379,0.000310798,0.00018872,0.001096324,0.1457266,0.003072238,0.02260428,0.5237135,0.0007220097,0.08946605],"study_design_scores_gemma":[0.0000912079,0.0003621888,0.5269053,0.0001624912,0.00009841088,0.001058961,0.03772433,0.01426284,0.003620065,0.4109739,0.004595096,0.0001452943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678528,0.0001257767,0.008766986,0.001099047,0.000009615795,0.00002106388,0.00001094012,0.00001433013,0.02209947],"genre_scores_gemma":[0.9988893,0.00001401974,0.0009238544,0.00003989363,0.000002973904,0.000006304551,0.000003131432,0.000002540423,0.0001180412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00390833,"threshold_uncertainty_score":0.02066952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2965561439902334,"score_gpt":0.3872870365360462,"score_spread":0.09073089254581274,"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."}}