{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661247,0.0003836919,0.0002368363,0.0006560286,0.0002349792,0.0002444593,0.0001150755,0.0002234198,0.001477161],"category_scores_gemma":[0.000608411,0.0001843479,0.0001778045,0.0004143916,0.0002730982,0.0001181499,0.0001844526,0.0002012139,0.00009602473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611675,"about_ca_system_score_gemma":0.0001659331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928803,"about_ca_topic_score_gemma":0.002563305,"domain_scores_codex":[0.9999022,0.00002645051,0.00001307188,0.00002465183,0.0000219935,0.00001142107],"domain_scores_gemma":[0.9997283,0.00006639104,0.0001323369,0.00001901335,0.00001517087,0.00003895506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004092006,0.000132572,0.8968602,0.0001117643,0.0003490026,0.003160452,0.0006126144,0.0006741895,0.07562067,0.0002686551,0.0002106931,0.01790716],"study_design_scores_gemma":[0.00002171562,0.0001180126,0.9965979,0.000007077609,0.00004558029,0.001301657,0.00006956896,0.0001535309,0.001418213,0.0001424805,0.0001194559,0.000004731158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994548,0.0002089233,0.00007384121,0.00001697349,0.000001630617,0.00000198063,0.0001143038,0.000003151806,0.0001244236],"genre_scores_gemma":[0.9994266,0.0001341532,0.0001717453,0.000009266391,0.000003659541,0.000002858612,0.00009021955,0.000002758928,0.000158648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001928803,"threshold_uncertainty_score":0.004941583,"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."}}