{"id":"W2890767182","doi":"10.1073/pnas.1805016115","title":"Cross-cultural invariances in the architecture of shame","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Emotions and Moral Behavior","field":"Psychology","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"John Templeton Foundation","keywords":"Shame; Similarity (geometry); Devaluation; Set (abstract data type); Variation (astronomy); Scale (ratio); Product (mathematics); Social psychology; Psychology; Sociology; Economic geography; Linguistics; Mathematics; Computer science; Geography; Artificial intelligence; Philosophy; Geometry; Cartography; Physics","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":[0.007098764,0.0003392237,0.0004590595,0.0008950364,0.0007058884,0.001443428,0.0005614664,0.0005455173,0.005843381],"category_scores_gemma":[0.02835862,0.0004334643,0.0006279779,0.0004026381,0.004419595,0.001085255,0.001932949,0.001544768,0.0003399418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007524764,"about_ca_system_score_gemma":0.0004355407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106049,"about_ca_topic_score_gemma":0.001879566,"domain_scores_codex":[0.9956268,0.002043575,0.0002053429,0.001107959,0.0007331247,0.0002831779],"domain_scores_gemma":[0.9761375,0.008202453,0.002598846,0.01048136,0.001744141,0.0008356128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002120342,0.00105539,0.6745725,0.0004360701,0.001925444,0.0003947402,0.04819875,0.004605412,0.1568857,0.0419457,0.001230213,0.06662972],"study_design_scores_gemma":[0.00004415591,0.0003053873,0.9734153,0.00003841267,0.0001336283,0.0002431087,0.003092726,0.002786651,0.004475112,0.01413434,0.001243578,0.0000876415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865444,0.00006624166,0.004473302,0.0001354612,0.0000252693,0.00004866119,0.00008432021,0.00004208833,0.008580168],"genre_scores_gemma":[0.9990506,0.000008548831,0.0005192554,0.00002233153,0.000002464718,0.00002220697,0.00003206278,0.00001589513,0.0003266314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007098764,"threshold_uncertainty_score":0.03754228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09927510904329126,"score_gpt":0.4214880617873257,"score_spread":0.3222129527440344,"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."}}