{"id":"W7123239378","doi":"","title":"Neurodevelopmental markers in psychiatry : interest in schizophrenia disorders","year":2016,"lang":"fr","type":"article","venue":"","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Schizophrenia (object-oriented programming); Medical screening; Psychosis; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846683,0.0004550885,0.0004605965,0.002495078,0.0006121753,0.001987841,0.0004483231,0.0007146393,0.005113491],"category_scores_gemma":[0.008137735,0.0001936455,0.0007018138,0.003918341,0.0006649322,0.001056051,0.001048047,0.001234649,0.0004036254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043691,"about_ca_system_score_gemma":0.002178351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01643965,"about_ca_topic_score_gemma":0.02077791,"domain_scores_codex":[0.9991351,0.0003853926,0.00007591795,0.0001436255,0.0001765069,0.00008355579],"domain_scores_gemma":[0.9954576,0.002019146,0.001423682,0.0001943354,0.0004034101,0.0005019224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001754961,0.00005721058,0.9441369,0.0002838114,0.0002810171,0.0003464787,0.0004762002,0.0002196046,0.000568751,0.001907801,0.0009546817,0.05059212],"study_design_scores_gemma":[0.000006216801,0.00006126091,0.993203,0.0001450954,0.0001548556,0.0005200084,0.0003940895,0.00021378,0.0002329609,0.001594643,0.003463096,0.00001099163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8510434,0.1091019,0.002196241,0.01563185,0.0004850689,0.00007707961,0.002766074,0.00005004996,0.01864838],"genre_scores_gemma":[0.9743411,0.02080867,0.001360199,0.0005867918,0.0003461273,0.00003537914,0.0004457107,0.00001109261,0.002064958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01643965,"threshold_uncertainty_score":0.0326879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218726698123583,"score_gpt":0.2795073182379778,"score_spread":0.2576346484256195,"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."}}