{"id":"W4410978582","doi":"10.1016/j.paid.2025.113279","title":"A “fine-cuts” approach disentangling psychopathic, autistic and alexithymic traits in their associations with affective, cognitive and motor empathy","year":2025,"lang":"en","type":"article","venue":"Personality and Individual Differences","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"H2020 Marie Skłodowska-Curie Actions; Fonds de Recherche du Québec - Santé; Fondation Brain Canada; Institut de Valorisation des Données; European Commission; Horizon 2020 Framework Programme; Canadian Institute for Advanced Research","keywords":"Psychology; Empathy; Cognition; Psychopathy; Autistic traits; Developmental psychology; Cognitive psychology; Autism; Neuroscience; Social psychology; Personality; Autism spectrum disorder","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003417163,0.0002223762,0.0003133765,0.000201317,0.0004148974,0.0002403373,0.0001410532,0.00009393239,0.00001281717],"category_scores_gemma":[0.0003640045,0.0001704383,0.00002586212,0.0004281237,0.0006868866,0.0002152117,0.0001215707,0.0003986589,6.313832e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002935245,"about_ca_system_score_gemma":0.00008250514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002036972,"about_ca_topic_score_gemma":0.0009874125,"domain_scores_codex":[0.9980747,0.0003978312,0.0001756376,0.0006642222,0.0003292008,0.0003584194],"domain_scores_gemma":[0.9988873,0.0008697278,0.00007206028,0.00006834768,0.00001325232,0.00008928923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001916102,0.0005048465,0.9364642,0.0001870464,0.00006362437,0.000007582948,0.0339685,3.846756e-7,0.0006182883,0.02105759,0.000007234933,0.006929119],"study_design_scores_gemma":[0.00107061,0.000202542,0.9797878,0.0001539977,0.00003833236,0.00001010205,0.003306807,0.001445536,0.0001499193,0.01363811,0.000001867731,0.0001944232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945297,0.0007630585,0.0002918498,0.001245059,0.00002159605,0.0005790308,0.0008366629,0.00003591862,0.001697131],"genre_scores_gemma":[0.999339,0.000180006,0.00005638855,0.0001835631,0.00001283475,0.0001107115,0.00001556727,0.000008890178,0.00009299741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04332357,"threshold_uncertainty_score":0.6950272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05795777376928009,"score_gpt":0.3051886041986563,"score_spread":0.2472308304293762,"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."}}