{"id":"W4387845930","doi":"10.1111/ppe.13016","title":"Patterns of multiple chronic conditions in pregnancy: Population‐based study using latent class analysis","year":2023,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; Mount Sinai Hospital; Institute for Work & Health; Hospital for Sick Children; The Scarborough Hospital; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Canada Research Chairs","keywords":"Medicine; Latent class model; Population; Pregnancy; Asthma; Cohort; Odds ratio; Anxiety; Comorbidity; Confidence interval; Psychiatry; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004327083,0.0001361464,0.0006133269,0.0007665316,0.0000509032,0.000003290068,0.00006035798,0.00007181619,0.0001726935],"category_scores_gemma":[0.0004338881,0.0001237346,0.0001402255,0.001071513,0.00003493178,0.00005327472,0.00008713813,0.0001155441,0.000005096651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356737,"about_ca_system_score_gemma":0.00007966759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050329,"about_ca_topic_score_gemma":0.0006991203,"domain_scores_codex":[0.9985399,0.0002324177,0.0005110787,0.0003287257,0.0001014307,0.0002864676],"domain_scores_gemma":[0.998719,0.0007771159,0.000161222,0.0002336296,0.00002820581,0.00008077243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002790284,0.0001171829,0.9773221,0.0003769958,0.0002315635,0.0000535564,0.00005952317,0.02111029,0.00000598526,0.0002522518,0.00001305989,0.0004295807],"study_design_scores_gemma":[0.001555523,0.0001826149,0.8638904,0.00004123842,0.0006116137,0.000001200057,0.0002028941,0.133298,7.200674e-7,0.0001133547,0.00001670101,0.00008577981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997539,0.0009943858,0.0003572062,0.0002854967,0.00007597606,0.0005414548,0.0001200916,0.00005211675,0.00003427199],"genre_scores_gemma":[0.9990576,0.000175341,0.00007524031,0.00004377387,0.00005801284,0.00005917064,0.0004685214,0.00001080084,0.0000515768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134317,"threshold_uncertainty_score":0.5045753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08343563183498183,"score_gpt":0.374925753525648,"score_spread":0.2914901216906662,"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."}}