{"id":"W4386285287","doi":"10.3390/jpm13091342","title":"The Relationship of Cognitive Dysfunction with Inflammatory Markers and Carotid Intima Media Thickness in Schizophrenia","year":2023,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Schizophrenia (object-oriented programming); Positive and Negative Syndrome Scale; Internal medicine; Medicine; Intima-media thickness; Cognition; Population; Cognitive impairment; Psychiatry; Gastroenterology; Psychosis; Carotid arteries","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004630935,0.0003216978,0.0002366364,0.0008472912,0.000332492,0.0003714157,0.0001329038,0.0002501042,0.001406137],"category_scores_gemma":[0.001451904,0.0001717706,0.0002648808,0.0005167262,0.0002187327,0.000205593,0.0003991688,0.0003746432,0.0001061209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566805,"about_ca_system_score_gemma":0.0003335181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003656242,"about_ca_topic_score_gemma":0.004225635,"domain_scores_codex":[0.9998094,0.00004087695,0.00003317775,0.00002920959,0.00005174654,0.0000356696],"domain_scores_gemma":[0.9990317,0.0001200943,0.0005773045,0.00003260266,0.00008597041,0.0001524259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004213557,0.00005081024,0.9964154,0.00001991054,0.00006582109,0.0001386156,0.00008329681,0.00004157322,0.0006749693,0.00001083731,0.00002294692,0.002054448],"study_design_scores_gemma":[0.000004554022,0.00007194228,0.9995022,0.000005378717,0.00001959648,0.0001583403,0.00006633875,0.00006970014,0.00005823775,0.00001457325,0.00002742522,0.000001823403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993238,0.0003604757,0.000030466,0.00002647939,0.000002500079,0.000002647109,0.00005787482,0.000001259406,0.0001944432],"genre_scores_gemma":[0.9996301,0.0001646367,0.00004626517,0.000006209457,0.000005001043,0.000002338708,0.00005065429,4.655316e-7,0.00009441056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003656242,"threshold_uncertainty_score":0.007269919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913943169564113,"score_gpt":0.2743724136323715,"score_spread":0.2452329819367304,"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."}}