{"id":"W2765960040","doi":"10.1136/jech-2017-209419","title":"Using perinatal morbidity scoring tools as a primary study outcome","year":2017,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medicine; Poisson regression; Outcome (game theory); Population; Adverse effect; Pediatrics; Low birth weight; Pregnancy; Intensive care medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04841487,0.001238403,0.001385888,0.005320355,0.0007773097,0.002486536,0.001564259,0.0008221858,0.003204374],"category_scores_gemma":[0.1021885,0.0003672127,0.002628801,0.006886895,0.001139804,0.00195743,0.002809941,0.001764556,0.0005727062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104793,"about_ca_system_score_gemma":0.002346682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349867,"about_ca_topic_score_gemma":0.003247226,"domain_scores_codex":[0.9427437,0.04069096,0.00791647,0.002394682,0.005551194,0.0007030402],"domain_scores_gemma":[0.9218326,0.04431705,0.01582701,0.00708539,0.009787442,0.001150488],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001187898,0.0005376668,0.8312603,0.00357789,0.003930169,0.0002543127,0.001272698,0.001617344,0.001073945,0.01400166,0.005604575,0.1356816],"study_design_scores_gemma":[0.0006022172,0.005893104,0.9095477,0.003154538,0.004096764,0.001159315,0.003231043,0.01318367,0.007152464,0.02143893,0.03024823,0.0002920247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5676695,0.008368944,0.3199602,0.004106722,0.002089568,0.02154091,0.03138547,0.0005300821,0.0443486],"genre_scores_gemma":[0.8216631,0.002577102,0.1407176,0.0009145117,0.0003389772,0.02473537,0.006454485,0.00009971188,0.002499117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9515851,"threshold_uncertainty_score":0.2560454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5859570879340462,"score_gpt":0.5756423880208097,"score_spread":0.01031469991323652,"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."}}