{"id":"W2891497451","doi":"10.23889/ijpds.v3i4.967","title":"Using data to explore vulnerable women's utilization of maternity health care","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Medicine; Socioeconomic status; Poverty; Disadvantaged; Prenatal care; Health care; Environmental health; Nursing; Family medicine; Population; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.004982159,0.0003124606,0.0002071401,0.005987988,0.001036689,0.001505195,0.0009530131,0.000443616,0.003290406],"category_scores_gemma":[0.01781271,0.000270524,0.0004541644,0.01132178,0.0004312094,0.0008157339,0.002659281,0.0004111408,0.0005365686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00394979,"about_ca_system_score_gemma":0.008387787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4495938,"about_ca_topic_score_gemma":0.4757665,"domain_scores_codex":[0.9944102,0.001656761,0.000778116,0.0005091241,0.001825013,0.0008207835],"domain_scores_gemma":[0.9888605,0.00278875,0.004383784,0.0009079833,0.002373258,0.0006855747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006048112,0.00003905346,0.9672152,0.0002789203,0.0001160243,0.00009394043,0.002472172,0.0002362464,0.0002383926,0.001214208,0.005376785,0.02265855],"study_design_scores_gemma":[0.00001386119,0.00003951761,0.9694914,0.0004553855,0.00005186957,0.00008533092,0.003637543,0.0004969031,0.0004050081,0.000571505,0.02472828,0.00002329732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8120047,0.001781784,0.002914643,0.00378559,0.00007599352,0.001093242,0.1546994,0.00006796519,0.02357671],"genre_scores_gemma":[0.9279171,0.001651129,0.006730971,0.0007776903,0.00004777573,0.001457278,0.05873781,0.0000219923,0.002658257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495938,"threshold_uncertainty_score":0.8939537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7668916031732875,"score_gpt":0.6376891343823357,"score_spread":0.1292024687909519,"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."}}