{"id":"W4280623306","doi":"10.1017/s0033291722000174","title":"Applying dimensional psychopathology: transdiagnostic prediction of executive cognition using brain connectivity and inflammatory biomarkers","year":2022,"lang":"en","type":"article","venue":"Psychological Medicine","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fractional anisotropy; Bipolar disorder; Cognition; Psychology; Wisconsin Card Sorting Test; Schizophrenia (object-oriented programming); Executive dysfunction; Neuroscience; Neuropsychology; Functional magnetic resonance imaging; Major depressive disorder; Medicine; Psychopathology; Diffusion MRI; Clinical psychology; Psychiatry; Magnetic resonance imaging","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001566409,0.0008096474,0.000467724,0.001242761,0.0004441327,0.001281764,0.0004231371,0.0005896268,0.001277849],"category_scores_gemma":[0.003862817,0.0002568666,0.0007953699,0.0007449204,0.0005196225,0.0004720476,0.001194211,0.000658052,0.0001391347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285139,"about_ca_system_score_gemma":0.0003788923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535965,"about_ca_topic_score_gemma":0.004806802,"domain_scores_codex":[0.9992099,0.0004226934,0.00006978934,0.0001740148,0.00006802265,0.00005555746],"domain_scores_gemma":[0.9982858,0.0004236602,0.0006538519,0.0003088938,0.0001698005,0.0001579232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001595103,0.00004375211,0.9950062,0.00001390625,0.0002869236,0.00006752088,0.00009561691,0.0003199629,0.000698139,0.0001129003,0.00006757332,0.003127844],"study_design_scores_gemma":[0.00002028892,0.0002250355,0.993691,0.00001529446,0.0001215875,0.0003640139,0.0003319946,0.003722263,0.000342798,0.001029253,0.0001251928,0.00001125743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981889,0.0001175781,0.001106531,0.00008391583,0.000005097498,0.00002173453,0.0001702107,0.000008993788,0.0002969292],"genre_scores_gemma":[0.9992968,0.00003207811,0.0004948082,0.0000126642,0.000003752983,0.00001382337,0.0001071014,0.000001138624,0.00003777467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002535965,"threshold_uncertainty_score":0.008284092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662746996938225,"score_gpt":0.3158602322754132,"score_spread":0.259232762306031,"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."}}