{"id":"W3105914395","doi":"10.1016/j.euroneuro.2020.09.188","title":"P.250 Prediction of bipolar disorder four years before onset in a 22-year population-based birth cohort using advanced machine learning techniques","year":2020,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Edinburgh Postnatal Depression Scale; Cohort; Medicine; Biomarker; Pregnancy; Obstetrics; DNA methylation; Oncology; Population; Cohort study; Internal medicine; Postpartum depression; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009891504,0.0003775744,0.0002620346,0.0005101782,0.0003677688,0.0008338828,0.0005334307,0.0007108319,0.004870255],"category_scores_gemma":[0.004108202,0.0003097931,0.001292448,0.0005170883,0.0002122222,0.0004341527,0.0003491279,0.001619719,0.0009198419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660899,"about_ca_system_score_gemma":0.0003352287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011706,"about_ca_topic_score_gemma":0.00742588,"domain_scores_codex":[0.9997708,0.00007964439,0.00001751094,0.00008080098,0.00002768846,0.00002360061],"domain_scores_gemma":[0.9985084,0.0008042337,0.0002150864,0.0001686427,0.0001364684,0.0001671577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004667111,0.00005982243,0.9825247,0.00002012194,0.0004940908,0.000256315,0.00005119738,0.001078689,0.0004364105,0.0002429655,0.003555861,0.01081324],"study_design_scores_gemma":[0.00007702634,0.0002227904,0.9693414,0.00006672721,0.000448454,0.000639839,0.000166165,0.02568663,0.0002667617,0.00165695,0.001406576,0.00002064004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842212,0.001268237,0.004808342,0.002556889,0.0006744335,0.00002071845,0.004256595,0.00008493437,0.002108775],"genre_scores_gemma":[0.993102,0.0004143407,0.002294125,0.0001862179,0.0002871205,0.0000170504,0.001905821,0.00002374378,0.001769753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011706,"threshold_uncertainty_score":0.02011633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614660360506474,"score_gpt":0.2812852309233546,"score_spread":0.2651386273182899,"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."}}