{"id":"W2918679067","doi":"10.1037/per0000327","title":"Clarifying the interstitial nature of facets from the Personality Inventory for DSM–5 using the five factor model of personality.","year":2019,"lang":"en","type":"article","venue":"Personality Disorders Theory Research and Treatment","topic":"Personality Disorders and Psychopathology","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; American Psychiatric Association","keywords":"Psychology; Openness to experience; Facet (psychology); Negative affectivity; Conscientiousness; Positive affectivity; Big Five personality traits; Personality; Structural equation modeling; Personality Assessment Inventory; Clinical psychology; Personality disorders; Developmental psychology; Extraversion and introversion; Social psychology; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004930493,0.0003566784,0.000258743,0.0007947956,0.0004349913,0.001262932,0.0005057515,0.000302041,0.001866878],"category_scores_gemma":[0.01519217,0.0002094479,0.0006016467,0.0009171776,0.0004922426,0.001469231,0.00146207,0.001270221,0.0003618287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007787974,"about_ca_system_score_gemma":0.002406905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007495125,"about_ca_topic_score_gemma":0.01677991,"domain_scores_codex":[0.9985241,0.0007712824,0.0002189442,0.0001320571,0.0002702556,0.00008344572],"domain_scores_gemma":[0.9967438,0.001374966,0.0007260858,0.0004507533,0.0005439148,0.0001604201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003346727,0.0002164787,0.5908912,0.0005498828,0.0001731871,0.0003751542,0.0100025,0.001510648,0.003080465,0.01597658,0.01103079,0.3658584],"study_design_scores_gemma":[0.0001029778,0.0002580098,0.9496614,0.0006854673,0.0001120792,0.0008308302,0.005902103,0.007271962,0.001030475,0.02038443,0.01371897,0.00004134559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193374,0.002208624,0.0536289,0.003068796,0.0004021192,0.001192531,0.003153436,0.000197123,0.0168111],"genre_scores_gemma":[0.9463415,0.0004599109,0.04787801,0.0003046468,0.00002564641,0.0006112431,0.003112085,0.00001277611,0.00125429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007495125,"threshold_uncertainty_score":0.02607524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352928272356857,"score_gpt":0.4180440665750528,"score_spread":0.2827512393393671,"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."}}