{"id":"W2470645818","doi":"10.1016/j.jogc.2016.05.005","title":"Evaluating the Postpartum Maternal Health Clinic: How Patient Characteristics Predict Follow-Up","year":2016,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Medicine; Gestational diabetes; Preeclampsia; Obstetrics; Gestational hypertension; Pregnancy; Birth certificate; Gestational age; Attendance; Logistic regression; Gestation; Population; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001954453,0.0002945474,0.0006159316,0.001305321,0.001128153,0.001755061,0.0008148063,0.001222785,0.002691188],"category_scores_gemma":[0.0246313,0.0003258304,0.0007627437,0.001696606,0.0002780161,0.001202564,0.0008017531,0.001317805,0.0003755311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551795,"about_ca_system_score_gemma":0.002729906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04042146,"about_ca_topic_score_gemma":0.06568045,"domain_scores_codex":[0.9975184,0.001062981,0.0003779913,0.0002097988,0.0003584112,0.0004724129],"domain_scores_gemma":[0.988468,0.005499651,0.002632857,0.000271643,0.001392042,0.001735715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105247,0.00006790934,0.9963283,0.00001399174,0.00003971951,0.0001245326,0.0001326454,0.00005081675,0.00003055101,0.00001597066,0.0003663614,0.002723889],"study_design_scores_gemma":[0.00001377005,0.0002250394,0.995334,0.0000962606,0.0001215684,0.0004040859,0.002023815,0.001103388,0.0001063198,0.00008162725,0.0004737112,0.00001635222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942683,0.001097347,0.0001718725,0.001392055,0.00004538272,0.00003779186,0.0005984436,0.000009954631,0.002378795],"genre_scores_gemma":[0.9987882,0.000300253,0.0002359454,0.000192827,0.00003287001,0.00001426261,0.0002620784,0.000005432416,0.0001681399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04042146,"threshold_uncertainty_score":0.08037233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049548104616695,"score_gpt":0.3121546905266378,"score_spread":0.2716592094804708,"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."}}