{"id":"W2962015421","doi":"10.1016/j.schres.2019.06.021","title":"Retinal function anomalies in young offspring at genetic risk of schizophrenia and mood disorder: The meaning for the illness pathophysiology","year":2019,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre Integre de Sante et de Services Sociaux de Laval; Institut Universitaire en Santé Mentale de Québec; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"Canadian Institutes of Health Research","keywords":"Schizophrenia (object-oriented programming); Offspring; Pathophysiology; Mood; Bipolar disorder; Psychiatry; Meaning (existential); Psychology; Mood disorders; Medicine; Clinical psychology; Psychotherapist; Pregnancy; Genetics; Internal medicine; Anxiety; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009919143,0.0001527265,0.0001682886,0.0001051546,0.0003449217,0.00003193733,0.0003143358,0.0001176355,0.00003498398],"category_scores_gemma":[0.0002780757,0.00009745624,0.00007165,0.0002338641,0.0002656982,0.000006126319,0.0004007352,0.0002339295,0.00001310918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001864079,"about_ca_system_score_gemma":0.00007942239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00020318,"about_ca_topic_score_gemma":0.001953375,"domain_scores_codex":[0.9984087,0.0002875847,0.0002487039,0.0004109726,0.000259384,0.0003846732],"domain_scores_gemma":[0.9991274,0.000211333,0.00009955159,0.0004053872,0.0001169622,0.00003930452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01209351,0.00006834939,0.5516569,0.0001462443,0.0001560485,9.858472e-7,0.0005149195,0.0004163552,0.3906624,0.002176701,0.0002910482,0.04181657],"study_design_scores_gemma":[0.003849037,0.0007499001,0.9726801,0.00005297686,0.00003586351,0.000008846563,0.001414256,0.001913528,0.01184983,0.004743989,0.002390232,0.0003114804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953124,0.002370298,0.0002427549,0.000234753,0.0001164647,0.0007552041,0.000008733876,0.000006409635,0.000952995],"genre_scores_gemma":[0.9964225,0.001439573,0.0007667895,0.00001023727,0.00008550425,0.0001312159,0.00001771898,0.00003445351,0.001092031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4210232,"threshold_uncertainty_score":0.397415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039482360950697,"score_gpt":0.2603003593655608,"score_spread":0.2499055357560538,"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."}}