{"id":"W2959440301","doi":"10.1002/cam4.2412","title":"Maternal use of antibiotics and cancer incidence risk in offspring: A population‐based cohort study in Manitoba, Canada","year":2019,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"George & Fay Yee Centre for Healthcare Innovation; University of Manitoba; University of Victoria","funders":"Children's Hospital Research Institute of Manitoba","keywords":"Medicine; Pregnancy; Hazard ratio; Incidence (geometry); Obstetrics; Cancer; Population; Cohort study; Confidence interval; Confounding; Cohort; Epidemiology; Antibiotics; Proportional hazards model; Gynecology; Internal medicine; Environmental health; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000607395,0.0003941803,0.000431085,0.001255087,0.002178146,0.001136989,0.00115782,0.0004660333,0.001294296],"category_scores_gemma":[0.001574233,0.0006451849,0.000573542,0.004346427,0.0005512034,0.0003021882,0.0007794556,0.0007500667,0.0001919464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01759829,"about_ca_system_score_gemma":0.01920737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912291,"about_ca_topic_score_gemma":0.992909,"domain_scores_codex":[0.9993968,0.00007295206,0.00005105723,0.000124018,0.0001828046,0.0001722989],"domain_scores_gemma":[0.9987261,0.00007805966,0.0002442739,0.00008105256,0.0005363092,0.0003341622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004292348,0.0000259907,0.9977517,0.00001539745,0.00006309433,0.00008417163,0.0003707483,0.00004206441,0.0001631156,0.00003495139,0.0003999957,0.001005855],"study_design_scores_gemma":[0.00001166082,0.0000208174,0.9984667,0.00002888761,0.00005351628,0.00007478782,0.0005636439,0.000201232,0.00004799658,0.00001721549,0.0005054588,0.000008071686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931376,0.001283198,0.000173627,0.0004122673,0.00001845851,0.00006448223,0.003681631,0.00001305038,0.001215671],"genre_scores_gemma":[0.9963149,0.001257812,0.0002983435,0.000159103,0.000008219174,0.00002920767,0.0009846176,0.000005618947,0.0009422404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01759829,"threshold_uncertainty_score":0.1276851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328821325206955,"score_gpt":0.3129025055443341,"score_spread":0.2800203730236386,"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."}}