{"id":"W4361190438","doi":"10.1111/ppe.12974","title":"The matrix revolutions: How databases and database linkages will transform epidemiologic research","year":2023,"lang":"en","type":"letter","venue":"Paediatric and Perinatal Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"B.C. Women's Hospital & Health Centre; Children's & Women's Health Centre of British Columbia; University of British Columbia","funders":"","keywords":"Medicine; Epidemiology; Health care; Population; Infant mortality; Database; Demography; Pediatrics; Family medicine; Environmental health; Economic growth","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1935674,0.001789322,0.002355833,0.01041642,0.003943232,0.02229445,0.00656898,0.009639018,0.01469067],"category_scores_gemma":[0.3066463,0.002422295,0.003493561,0.01002356,0.01839258,0.05298682,0.01506799,0.0172931,0.004816445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00474102,"about_ca_system_score_gemma":0.01032898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003682392,"about_ca_topic_score_gemma":0.006619245,"domain_scores_codex":[0.8786761,0.09405073,0.007609348,0.004229771,0.0139056,0.001528569],"domain_scores_gemma":[0.4712026,0.4578234,0.006366292,0.03766339,0.02078288,0.006161463],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001611384,0.00009595189,0.001664491,0.001415873,0.0003037089,0.0002089657,0.005093229,0.0009894787,0.0001888779,0.2367645,0.4389046,0.3142093],"study_design_scores_gemma":[0.00008916201,0.00007304663,0.0004785775,0.001943152,0.00006147443,0.0002315973,0.001412363,0.001328553,0.0001681051,0.3182956,0.6758075,0.0001109985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001328887,0.05840506,0.1023419,0.7999476,0.02682927,0.0002551686,0.001029032,0.001776888,0.008086271],"genre_scores_gemma":[0.03511317,0.1437826,0.4677576,0.2382163,0.1008432,0.001855738,0.001949613,0.002936705,0.007545056],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8064326,"threshold_uncertainty_score":0.994475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1788197335658712,"score_gpt":0.424738200781951,"score_spread":0.2459184672160798,"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."}}