{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004547659,0.000234826,0.0003340231,0.00006715411,0.0005267517,0.0001517879,0.0008230208,0.0001609461,0.00008768956],"category_scores_gemma":[0.0007306016,0.0001326741,0.00007837312,0.00119481,0.001170276,0.0001360964,0.0007239895,0.0002998686,0.00001789808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003255806,"about_ca_system_score_gemma":0.0002408926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003815306,"about_ca_topic_score_gemma":0.00000887296,"domain_scores_codex":[0.9979885,0.0001174044,0.0002672589,0.0008440803,0.0003428984,0.0004398539],"domain_scores_gemma":[0.9991696,0.000164362,0.00008126891,0.0002685283,0.00006527235,0.000250962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001471036,0.0005221681,0.9774463,0.00002254757,0.000008681049,0.00001404647,0.000008743081,0.00002318994,0.0001471056,0.01104692,0.004288105,0.005001203],"study_design_scores_gemma":[0.001276922,0.002701127,0.9864214,0.00003147867,0.00002253748,0.00002934336,0.0000800807,0.001217995,0.00002100238,0.005383799,0.00264798,0.0001663373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047158,0.0003626012,0.00003949062,0.01969224,0.001003061,0.0007914903,0.00005213945,0.00008718855,0.07325596],"genre_scores_gemma":[0.9683615,0.00006742021,0.001052554,0.0303707,0.00005761589,0.00001982735,0.000008700226,0.000002375153,0.00005930402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07319665,"threshold_uncertainty_score":0.5410293,"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."}}