{"id":"W2515236995","doi":"10.1111/1471-0528.14273","title":"Variations in very preterm birth rates in 30 high‐income countries: are valid international comparisons possible using routine data?","year":2016,"lang":"en","type":"article","venue":"BJOG An International Journal of Obstetrics & Gynaecology","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Public Health Agency of Canada","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; National Institute for Health and Care Research; Université Paris Descartes; Japan Agency for Medical Research and Development; European Commission; Ministry of Health and Welfare","keywords":"Gestation; Medicine; Obstetrics; Pregnancy; Singleton; Birth rate; Gestational age; Population; Live birth; Demography; Fertility; Biology; Environmental health","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":[],"category_scores_codex":[0.01752191,0.0004705597,0.0007964809,0.003019282,0.000344165,0.001296576,0.001016655,0.0004976628,0.0007581561],"category_scores_gemma":[0.04307633,0.0003494397,0.0007573665,0.005994937,0.0008536011,0.001532443,0.001620895,0.0004794405,0.0002807437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005041358,"about_ca_system_score_gemma":0.0007662333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009613324,"about_ca_topic_score_gemma":0.01035542,"domain_scores_codex":[0.982125,0.01159725,0.002472033,0.001422597,0.001708679,0.0006744515],"domain_scores_gemma":[0.9749871,0.008049306,0.00863268,0.003760012,0.00403923,0.0005315631],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001327217,0.00002979712,0.979472,0.0003560933,0.0005023461,0.00005577106,0.0006772589,0.0003813083,0.0002035656,0.0003470311,0.0007497949,0.01709232],"study_design_scores_gemma":[0.00001270194,0.0001120807,0.9969722,0.0001741184,0.00009562127,0.0001065637,0.0008297359,0.0002088491,0.0001665552,0.0001119064,0.001192571,0.00001716081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819739,0.004648344,0.003533638,0.0003549447,0.0000758563,0.0001161571,0.005126875,0.00003666482,0.004133639],"genre_scores_gemma":[0.9904242,0.001205687,0.002686973,0.0000838322,0.0000341593,0.0001276177,0.00534068,0.00001416183,0.00008263456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9824781,"threshold_uncertainty_score":0.09266585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507353089764535,"score_gpt":0.3412879338611927,"score_spread":0.2962144029635474,"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."}}