{"id":"W4411763913","doi":"10.1093/schbul/sbaf078","title":"Orbitofrontal Thickness and Network Associations as Transdiagnostic Signature of Amotivation Along the Bipolar-Schizophrenia Spectrum","year":2025,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; National Institutes of Health; Temasek Foundation; UK Research and Innovation","keywords":"Amotivation; Orbitofrontal cortex; Schizophrenia (object-oriented programming); Neuroscience; Psychology; Prefrontal cortex; Anhedonia; Default mode network; Functional connectivity; Psychiatry; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007228285,0.0003933087,0.0006530886,0.0002511099,0.0005329082,0.00008751826,0.0002739718,0.0003087704,0.0005116614],"category_scores_gemma":[0.001015588,0.0002810469,0.0002481082,0.000918875,0.0003187272,0.00006723008,0.0001252045,0.0009397008,0.00009367654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533267,"about_ca_system_score_gemma":0.0006797318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007029937,"about_ca_topic_score_gemma":0.001026571,"domain_scores_codex":[0.9972333,0.000291499,0.0006587518,0.0005617653,0.0006292225,0.0006254134],"domain_scores_gemma":[0.9975122,0.001244781,0.0002259257,0.0005909984,0.0001981091,0.0002279803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.09912492,0.003229041,0.3046456,0.001145577,0.006598763,0.0006830882,0.002093281,0.0005496573,0.006835901,0.3690675,0.09706835,0.1089583],"study_design_scores_gemma":[0.01351146,0.0007372905,0.9511045,0.0007937494,0.0008746519,0.0001265673,0.0002191146,0.0001546384,0.003665013,0.01912004,0.009282649,0.0004103812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246874,0.01583493,0.0004930284,0.05466089,0.0005479481,0.001918725,0.0001154864,0.0001722228,0.001569348],"genre_scores_gemma":[0.9933107,0.0006744686,0.003771994,0.0006046405,0.0004544355,0.0001232912,0.0001691669,0.00004296159,0.0008483377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6464588,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007466381096832859,"score_gpt":0.2530599643086189,"score_spread":0.245593583211786,"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."}}