{"id":"W3112551398","doi":"10.3390/ijerph17249352","title":"Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; St Mary's Hospital Centre; McGill University Health Centre; Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University; Jewish General Hospital","funders":"","keywords":"Psychosocial; Perinatal period; Mental health; Psychiatry; Postpartum period; Medicine; Longitudinal study; Medical diagnosis; Set (abstract data type); Mental illness; Family medicine; Psychology; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03060581,0.0008968979,0.001295054,0.01328367,0.003481351,0.004888814,0.004543057,0.001202081,0.01051298],"category_scores_gemma":[0.05939854,0.001712114,0.0009981557,0.01451755,0.0009392501,0.007011098,0.006745088,0.001861159,0.006628253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005399725,"about_ca_system_score_gemma":0.03358237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1278351,"about_ca_topic_score_gemma":0.1570649,"domain_scores_codex":[0.9879307,0.003708734,0.002915062,0.001846214,0.002835957,0.0007634488],"domain_scores_gemma":[0.893397,0.0214183,0.008547186,0.02243645,0.04202599,0.01217515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001400432,0.002515311,0.1751922,0.004178608,0.0002685702,0.001533169,0.007098554,0.004371773,0.01124147,0.007988772,0.2287279,0.5554832],"study_design_scores_gemma":[0.0008654005,0.0007921029,0.2064616,0.002710869,0.000368472,0.00127209,0.006757751,0.02011912,0.01799303,0.003161105,0.7388034,0.0006950618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1328041,0.001115644,0.2308681,0.009678772,0.0005641514,0.06396068,0.4884636,0.04909327,0.02345159],"genre_scores_gemma":[0.08123497,0.0008297445,0.5701014,0.0006228835,0.0001463151,0.01438002,0.322778,0.003032493,0.006874181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1278351,"threshold_uncertainty_score":0.254182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09146725545827808,"score_gpt":0.3947634147446533,"score_spread":0.3032961592863752,"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."}}