{"id":"W3162809363","doi":"10.31234/osf.io/2rz3q","title":"Screening Dark Personalities","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Machiavellianism; Psychopathy; Narcissism; Dark triad; Psychology; Measure (data warehouse); Tetrad; Personality psychology; Social psychology; Personality; Computer science; Physics; Data mining","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":[0.0005446115,0.0003744062,0.0002264096,0.001304397,0.0004256954,0.0005963739,0.0002620836,0.000426544,0.007909013],"category_scores_gemma":[0.003330263,0.0001590098,0.0002515055,0.0003820802,0.0002891399,0.0006337346,0.001139673,0.0007020048,0.001376869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750298,"about_ca_system_score_gemma":0.0002289736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006464971,"about_ca_topic_score_gemma":0.001304827,"domain_scores_codex":[0.9996428,0.00007109698,0.00002997715,0.00006064943,0.0001102703,0.00008515697],"domain_scores_gemma":[0.9980471,0.0003474893,0.0005501538,0.0002129823,0.0003775897,0.0004646143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008900502,0.000507773,0.7569776,0.0002228025,0.0001105044,0.001174146,0.002733943,0.0004217363,0.01445797,0.002759226,0.007033951,0.2127102],"study_design_scores_gemma":[0.00003856412,0.0006950859,0.967626,0.0001251781,0.00006581967,0.005450307,0.00224637,0.000984556,0.005192713,0.003422878,0.01410172,0.00005083667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982273,0.0005846016,0.002700357,0.0002917893,0.00006907304,0.0001335253,0.0007462305,0.000062903,0.01313837],"genre_scores_gemma":[0.98654,0.0005295618,0.004334341,0.0001845452,0.00004838849,0.0001003212,0.0009453074,0.0000181722,0.007299344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007909013,"threshold_uncertainty_score":0.02645826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1748008080285857,"score_gpt":0.3934297593482689,"score_spread":0.2186289513196832,"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."}}