{"id":"W3161230837","doi":"10.31234/osf.io/7pg9b","title":"A Mega-Analysis of Personality Prediction: Robustness and Boundary Conditions","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Clair College","funders":"","keywords":"Personality; Covariate; Psychology; Robustness (evolution); Big Five personality traits; Propensity score matching; Clinical psychology; Social psychology; Econometrics; Statistics; Mathematics","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":[0.1121365,0.001233021,0.00266911,0.003902157,0.00221792,0.003601118,0.003535263,0.001542008,0.009204629],"category_scores_gemma":[0.2690652,0.001162354,0.007501235,0.005264402,0.002857443,0.003083825,0.007091324,0.003247149,0.001009888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085861,"about_ca_system_score_gemma":0.002020114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0086661,"about_ca_topic_score_gemma":0.005478451,"domain_scores_codex":[0.9178995,0.06581607,0.002989579,0.009021223,0.002668021,0.001605477],"domain_scores_gemma":[0.7658244,0.1793203,0.01180689,0.03565267,0.005479153,0.001916567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001835016,0.0001158411,0.8820723,0.0009038992,0.01528085,0.0009436527,0.003203704,0.01170842,0.001568409,0.02189294,0.007436003,0.05303895],"study_design_scores_gemma":[0.0004580814,0.001665486,0.6687468,0.0008311181,0.009498976,0.001169077,0.002734621,0.2174611,0.002236951,0.06747091,0.02749815,0.0002287745],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6203837,0.003173147,0.3600288,0.002780782,0.0003219329,0.001005634,0.006276845,0.001338797,0.004690437],"genre_scores_gemma":[0.9071021,0.0002380458,0.08639534,0.0003407901,0.00005688323,0.001147389,0.003735909,0.0003562214,0.0006273357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121365,"threshold_uncertainty_score":0.5930413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07888196475333054,"score_gpt":0.3812038007675866,"score_spread":0.3023218360142561,"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."}}