{"id":"W1971487909","doi":"10.1371/journal.pone.0087686","title":"PRODH Polymorphisms, Cortical Volumes and Thickness in Schizophrenia","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cilag; Conselho Nacional de Desenvolvimento Científico e Tecnológico; H. Lundbeck A/S; Fundação de Amparo à Pesquisa do Estado de São Paulo; Eli Lilly and Company","keywords":"Positive and Negative Syndrome Scale; Schizophrenia (object-oriented programming); Sanger sequencing; Genetics; Restriction fragment length polymorphism; Allele; Genotype; Heritability; Neurochemical; Functional magnetic resonance imaging; Medicine; Biology; Psychosis; Internal medicine; Gene; Neuroscience; Psychiatry; Mutation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008591986,0.00009501224,0.0001095671,0.00002966824,0.00004051855,0.00001597731,0.00008179028,0.00007438956,0.00001116762],"category_scores_gemma":[0.00009262429,0.00009614188,0.00001422879,0.00004885147,0.00006648879,0.000001573364,0.00009707128,0.0000815732,0.00001056903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002991409,"about_ca_system_score_gemma":0.00002287345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009011037,"about_ca_topic_score_gemma":0.00005534264,"domain_scores_codex":[0.9993053,0.00004089309,0.0001205071,0.0002599555,0.0001069906,0.0001663244],"domain_scores_gemma":[0.9997368,0.000007145393,0.00002184363,0.0001511837,0.00002124785,0.00006171929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006452577,0.0002969639,0.0299133,0.00002759997,0.00001792666,8.487835e-7,0.00002628286,9.794765e-7,0.9676639,0.000103148,0.00006086565,0.001823637],"study_design_scores_gemma":[0.001394856,0.0003524813,0.6289275,0.0000532731,0.0000288251,0.000005568126,0.00002488424,0.0004215442,0.3675419,0.0003409237,0.000585023,0.0003231841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985508,0.0003625984,0.00005497679,0.0002926773,0.00001964358,0.0001237749,0.000002637225,0.000007286887,0.0005856468],"genre_scores_gemma":[0.9969932,0.0002112218,0.00213304,0.0003093523,0.00002361833,0.0000179014,0.00002143021,0.00001537554,0.0002748769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.600122,"threshold_uncertainty_score":0.3920552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138970553532408,"score_gpt":0.2015339055225664,"score_spread":0.1876368501693256,"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."}}