{"id":"W4293584284","doi":"10.31234/osf.io/5uvxg","title":"When Bigger is Better: Size of Strategy Repertoire Predicts Goal Attainment","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Repertoire; Set (abstract data type); Variety (cybernetics); Psychology; Toolbox; Adaptive strategies; Cognitive psychology; Developmental psychology; Social psychology; Computer science; Artificial intelligence; Geography","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":[0.001111655,0.0003015792,0.0002641837,0.0007624995,0.0002947688,0.001414363,0.0002696737,0.000573119,0.004118845],"category_scores_gemma":[0.007865458,0.0002645045,0.000394779,0.0003656275,0.0005559916,0.0008392712,0.0009741748,0.0008038193,0.000437367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807054,"about_ca_system_score_gemma":0.0001452307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545892,"about_ca_topic_score_gemma":0.002401578,"domain_scores_codex":[0.9996401,0.0001210523,0.00003109827,0.00008163525,0.00007394948,0.00005207846],"domain_scores_gemma":[0.9948773,0.0021128,0.001402234,0.0004345938,0.0003186504,0.0008544647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001800924,0.0002658592,0.9879223,0.00002930223,0.0001426422,0.00003970408,0.001017139,0.0002117544,0.001089155,0.0001981563,0.0001995151,0.008704401],"study_design_scores_gemma":[0.000006127693,0.0000822565,0.9979185,0.0000135785,0.00002500899,0.00006049634,0.0005719796,0.0005502962,0.0001350616,0.0004955819,0.0001334102,0.000007719081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986999,0.000077747,0.0001693866,0.0000423917,0.000003290334,0.000005211059,0.00006328005,0.000005040747,0.0009337477],"genre_scores_gemma":[0.9993407,0.00005529382,0.0002472868,0.00001527857,0.000002926471,0.000007698432,0.0001110671,0.000003622837,0.0002160658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004118845,"threshold_uncertainty_score":0.01377887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07177238306474006,"score_gpt":0.3930377587923375,"score_spread":0.3212653757275975,"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."}}