{"id":"W2734319815","doi":"10.1038/s41598-017-04738-x","title":"Identifying affective personality profiles: A latent profile analysis of the Affective Neuroscience Personality Scales","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal; Research Unit on Children's Psychosocial Maladjustment","funders":"","keywords":"Intrapersonal communication; Psychology; Affective neuroscience; Personality; Empathy; Anger; Interpersonal communication; Sadness; Developmental psychology; Clinical psychology; Social psychology; Cognition; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004723044,0.0003118816,0.00063906,0.0003138662,0.002281103,0.0005296711,0.00110235,0.0001810738,0.001096786],"category_scores_gemma":[0.0006984031,0.0002223582,0.0008683731,0.00130876,0.003737281,0.0003676041,0.0003508817,0.0003958945,0.0000249814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008386735,"about_ca_system_score_gemma":0.0001588303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723979,"about_ca_topic_score_gemma":0.001328483,"domain_scores_codex":[0.9949388,0.0006890073,0.0006703515,0.001941758,0.001080813,0.0006792776],"domain_scores_gemma":[0.9944841,0.0001363834,0.00156967,0.003227253,0.0003952475,0.0001872978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006646026,0.0006264437,0.9601412,0.00005968966,0.0006712251,0.0001634631,0.01259611,0.00001395805,0.01776234,0.001829075,0.004206682,0.001863297],"study_design_scores_gemma":[0.0002052756,0.00004615685,0.9939669,0.00003799379,0.0004694647,0.0001046412,0.0006937998,0.0001690654,0.001358062,0.00157423,0.001131756,0.0002426249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971894,0.0001357487,0.0002442595,0.0006566906,0.01162969,0.0008653539,0.0001427146,0.00005374788,0.01437778],"genre_scores_gemma":[0.9937542,0.000001139243,0.00008173985,0.0001360528,0.00009174868,0.0001188257,0.0000247008,0.00001777874,0.005773799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382567,"threshold_uncertainty_score":0.9998164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07119456948090144,"score_gpt":0.3762999006171835,"score_spread":0.3051053311362821,"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."}}