{"id":"W4410799252","doi":"10.1016/j.bpsgos.2025.100541","title":"Predicting Mental and Neurological Illnesses Based on Cerebellar Normative Features","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry Global Open Science","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Canadian Institutes of Health Research; Horizon 2020 Framework Programme; National Institutes of Health; Norges Forskningsråd; Genentech; Helse Sør-Øst RHF; IXICO; H. Lundbeck A/S; Servier; Eisai; NordForsk; Deutsche Forschungsgemeinschaft; European Research Council; Northern California Institute for Research and Education; Stiftelsen Kristian Gerhard Jebsen; University of Southern California; Pfizer; BioClinica; Biogen; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; European Commission; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Alzheimer's Association","keywords":"Normative; Psychology; Cerebellum; Psychiatry; Neuroscience; Philosophy; Epistemology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001056305,0.0005117886,0.0002700401,0.001845683,0.0002531607,0.0008087021,0.0002596977,0.0003552342,0.0008889036],"category_scores_gemma":[0.005376415,0.0001094704,0.0003749387,0.0004879471,0.0004019628,0.0003598589,0.0006395832,0.0003554691,0.0002343261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576811,"about_ca_system_score_gemma":0.0003316945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006795189,"about_ca_topic_score_gemma":0.008552919,"domain_scores_codex":[0.9996569,0.00009856256,0.0000333847,0.0001310672,0.00004788503,0.00003222141],"domain_scores_gemma":[0.9976897,0.001176805,0.0005268158,0.0002358829,0.0002468688,0.0001238882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002331567,0.00002342419,0.9652973,0.0000182373,0.00009877079,0.0001118077,0.00009012724,0.01050756,0.002176515,0.0002184578,0.0002756831,0.02094893],"study_design_scores_gemma":[0.00001181042,0.00008260355,0.8841994,0.00002330891,0.00008938475,0.0006594575,0.0001774215,0.1089284,0.003211899,0.002146674,0.0004478616,0.00002174611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874511,0.0001367943,0.01033336,0.00005671448,0.000004870147,0.0000146852,0.001241678,0.0001669897,0.0005939844],"genre_scores_gemma":[0.9967104,0.00003061702,0.002533223,0.000005287113,0.000002260771,0.000006617633,0.0006443766,0.000007430719,0.00005971078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006795189,"threshold_uncertainty_score":0.0135113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737182678810845,"score_gpt":0.3198667952994627,"score_spread":0.3024949685113543,"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."}}