{"id":"W2057930472","doi":"10.1111/jmwh.12165","title":"Development and Validation of a National Data Registry for Midwife‐Led Births: The Midwives Alliance of North America Statistics Project 2.0 Dataset","year":2014,"lang":"en","type":"article","venue":"Journal of Midwifery & Women s Health","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Foundation for the Advancement of Midwifery","keywords":"Benchmarking; Data collection; Descriptive statistics; Data quality; Alliance; Cohen's kappa; Medicine; Statistics; Family medicine; Demography; Geography; Operations management; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001938249,0.0001183865,0.0004709491,0.000108671,0.0001200916,0.00001180446,0.0002802444,0.00002951381,0.00003252767],"category_scores_gemma":[0.0004594583,0.00008059482,0.00003754171,0.0001471953,0.0001222829,0.0001388633,0.00007741795,0.000175389,0.000001022102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168134,"about_ca_system_score_gemma":0.00126891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006951682,"about_ca_topic_score_gemma":0.00008295296,"domain_scores_codex":[0.9977812,0.000142541,0.001204725,0.0001620004,0.0004885422,0.0002209812],"domain_scores_gemma":[0.9972018,0.0003270752,0.001589696,0.000296951,0.0004283001,0.0001561837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01668189,0.005114678,0.07889307,0.09936987,0.002255044,0.00004369316,0.0243657,0.0002145284,0.0007948248,0.002782357,0.2612146,0.5082698],"study_design_scores_gemma":[0.002052472,0.002424514,0.1176091,0.001059866,0.00003559256,0.0002106165,0.0007132115,0.0006896383,0.0003257983,0.0002821607,0.8744671,0.0001298948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744695,0.0006052414,0.008643729,0.002379354,0.0002141699,0.000614299,0.01304781,0.00000488086,0.00002099474],"genre_scores_gemma":[0.8734372,0.002079864,0.1166313,0.002186162,0.0004069727,0.00006074413,0.004335568,0.00003639059,0.0008257391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6132525,"threshold_uncertainty_score":0.3286562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006419173604727,"score_gpt":0.4091938912187091,"score_spread":0.3085519738582364,"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."}}