{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634949,0.0002938535,0.0002040788,0.0009544016,0.0004257096,0.0003581356,0.0001837818,0.0004135763,0.002030233],"category_scores_gemma":[0.0009729906,0.0002191387,0.0001651558,0.0003328139,0.0004886672,0.0002081276,0.000302018,0.0004750578,0.0001587325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890691,"about_ca_system_score_gemma":0.0003220341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005844212,"about_ca_topic_score_gemma":0.004909376,"domain_scores_codex":[0.9998991,0.00001955549,0.000006733531,0.00002022229,0.00002455247,0.00002985877],"domain_scores_gemma":[0.9996805,0.00006900771,0.000113276,0.00001747771,0.00003108903,0.00008858358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009084636,0.0003123252,0.923435,0.00002674034,0.00004620678,0.01632269,0.001111872,0.000153859,0.04656533,0.0005758056,0.0003330212,0.01020873],"study_design_scores_gemma":[0.000006260641,0.000146888,0.9894644,0.000006544223,0.00002394403,0.007799695,0.0004236827,0.0001181788,0.001698488,0.0001704608,0.0001331938,0.000008266356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992861,0.0001129543,0.00008311983,0.00005654091,0.000005462644,0.000002323482,0.00006185027,0.000004452791,0.0003872107],"genre_scores_gemma":[0.9992329,0.0001799243,0.0001141834,0.00001874363,0.000005525393,0.000002545313,0.00004614053,0.000004066875,0.0003960537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005844212,"threshold_uncertainty_score":0.0116204,"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."}}