{"id":"W2119592058","doi":"10.1037/0022-3514.93.5.880","title":"Between facets and domains: 10 aspects of the Big Five.","year":2007,"lang":"en","type":"article","venue":"Journal of Personality and Social Psychology","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":1937,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Facet (psychology); Psychology; Personality; Big Five personality traits; Variance (accounting); Sample (material); Social psychology; Big Five personality traits and culture; Personality Assessment Inventory; Domain (mathematical analysis); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003571812,0.0004861546,0.0003203438,0.001048655,0.0005211443,0.00149904,0.0004435898,0.0003586891,0.0008594438],"category_scores_gemma":[0.008299719,0.0002310066,0.0005597434,0.001091981,0.0009915186,0.001217168,0.001707921,0.0008925046,0.0001313904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178401,"about_ca_system_score_gemma":0.002131978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003602,"about_ca_topic_score_gemma":0.006105838,"domain_scores_codex":[0.9981571,0.000757098,0.0001688276,0.0001779432,0.0006235661,0.0001154457],"domain_scores_gemma":[0.9971123,0.001094303,0.0007025834,0.0001886484,0.000557304,0.0003447727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000320156,0.0001485034,0.5883614,0.0008795689,0.0006997766,0.0002368023,0.0159601,0.002505136,0.00312387,0.03157797,0.01115524,0.3450314],"study_design_scores_gemma":[0.00006606306,0.0002978033,0.8644636,0.0009759778,0.0001895395,0.0007382145,0.008415532,0.004525855,0.000867511,0.07854649,0.04080989,0.0001034389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860824,0.007998249,0.06394008,0.005697147,0.0003130462,0.001172175,0.00293204,0.0001920901,0.03167273],"genre_scores_gemma":[0.9576301,0.0007674556,0.0383354,0.0005261688,0.0000248357,0.000367472,0.001634696,0.0000117295,0.0007020674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003602,"threshold_uncertainty_score":0.01888973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07724201498848875,"score_gpt":0.3932688907771974,"score_spread":0.3160268757887086,"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."}}