{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02284777,0.0006652153,0.0010332,0.006791775,0.00139665,0.002128374,0.00379557,0.0009256675,0.008403563],"category_scores_gemma":[0.05621241,0.0009060937,0.0009274309,0.009703348,0.0007218132,0.00165437,0.003268195,0.002324546,0.006588751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003887522,"about_ca_system_score_gemma":0.01608116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0628836,"about_ca_topic_score_gemma":0.06102408,"domain_scores_codex":[0.9809005,0.005776989,0.004314655,0.002969838,0.005067626,0.0009704276],"domain_scores_gemma":[0.9386837,0.01338846,0.008570236,0.01046543,0.02668955,0.002202634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003270622,0.0004399353,0.2049397,0.001023758,0.0002065367,0.0002227957,0.001570589,0.002496355,0.0009188633,0.007132608,0.7283526,0.05236916],"study_design_scores_gemma":[0.0004062595,0.0001725983,0.3625453,0.001252629,0.000132059,0.0002641394,0.001862883,0.005426191,0.002150147,0.002303364,0.6233239,0.0001605612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02799772,0.0001698511,0.01284989,0.001391966,0.0001647243,0.003048047,0.9460777,0.0009300745,0.007370059],"genre_scores_gemma":[0.01914539,0.0001166622,0.02586513,0.0004354651,0.00006285704,0.009726956,0.9428424,0.0002534893,0.001551653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0628836,"threshold_uncertainty_score":0.1250352,"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."}}