{"id":"W2731100971","doi":"10.1093/geroni/igx004.4992","title":"SITUATING WISDOM IN THE CONTEXT OF EVERYDAY LIFE: STATES, TRAITS, AND CHANGES OVER THE LIFESPAN","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Compassion; Situational ethics; Context (archaeology); Psychology; Maturity (psychological); Everyday life; Sociology; Social psychology; Epistemology; Developmental psychology; Political science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002272135,0.00007839904,0.0001371284,0.0001876321,0.0002081927,0.0000603777,0.0003176237,0.0000615652,0.00004354567],"category_scores_gemma":[0.0004825546,0.0000512517,0.000009148345,0.0002856274,0.0002597104,0.00009060305,0.00006366946,0.0003392548,0.000003960645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001449357,"about_ca_system_score_gemma":0.00002864762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628102,"about_ca_topic_score_gemma":0.001871373,"domain_scores_codex":[0.9989498,0.000233651,0.0002815465,0.0001697247,0.0001454847,0.0002198477],"domain_scores_gemma":[0.9989484,0.0004742962,0.0002282435,0.0002662031,0.00007205721,0.0000108266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006428528,0.00007118044,0.6896644,0.00003590333,0.00004351195,0.00001629867,0.1627964,0.000005027851,0.0004462973,0.03899362,0.004057826,0.1038053],"study_design_scores_gemma":[0.0007925112,0.00002815025,0.9677317,0.00006208029,0.000003057815,0.00000591299,0.02840377,0.0002204281,0.00004474866,0.0008922965,0.001748093,0.00006731138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772881,0.000348159,0.00008742362,0.01882312,0.0001186037,0.0001937486,0.000004381257,0.000008772363,0.003127686],"genre_scores_gemma":[0.997893,0.000008937686,0.00002379834,0.001676783,0.00007795858,0.00004050339,0.000004594709,0.000007464143,0.000266988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2780673,"threshold_uncertainty_score":0.2461214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007330159481714,"score_gpt":0.3975272320818938,"score_spread":0.3174539304870767,"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."}}