{"id":"W2946188273","doi":"10.1016/j.biopsych.2019.03.517","title":"T194. Reward-Related Decision-Making in Schizophrenia: A Multimodal Neuroimaging Study","year":2019,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Schizophrenia (object-oriented programming); Functional magnetic resonance imaging; Neuroimaging; Psychology; Functional neuroimaging; Neuroscience; Cognition; Functional Brain Imaging; Cognitive psychology; Psychiatry","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":[0.0003784641,0.0003599668,0.0001857195,0.0002361887,0.0005582088,0.0003696633,0.0002565374,0.0005550576,0.006852842],"category_scores_gemma":[0.0010419,0.0002242919,0.0002680069,0.000241847,0.0005554436,0.0004154532,0.0003367226,0.0006162185,0.0004248878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217626,"about_ca_system_score_gemma":0.0005266681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007768001,"about_ca_topic_score_gemma":0.006548618,"domain_scores_codex":[0.9999173,0.00002224299,0.000006657057,0.0000208422,0.00001222287,0.00002071326],"domain_scores_gemma":[0.9997382,0.0000850646,0.00008986104,0.00002381812,0.0000198246,0.00004327085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02413624,0.005573981,0.4895821,0.0004501479,0.0009685846,0.01554713,0.003033744,0.001944758,0.3916856,0.004829115,0.001636387,0.06061231],"study_design_scores_gemma":[0.0004475994,0.001877479,0.9848438,0.00002766534,0.000238255,0.002793758,0.0006177714,0.001963072,0.004383599,0.002227291,0.0005550021,0.00002474583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983335,0.00007728792,0.0002025833,0.000142578,0.000005948777,0.00001360819,0.0001141464,0.000002233239,0.001108113],"genre_scores_gemma":[0.9990393,0.00005782888,0.0001883301,0.00005873014,0.00001046374,0.00001223709,0.00008905056,0.000003753655,0.0005403683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007768001,"threshold_uncertainty_score":0.02292502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963134611762716,"score_gpt":0.2989913746552914,"score_spread":0.2693600285376643,"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."}}