{"id":"W2901332971","doi":"10.1080/16549716.2018.1517929","title":"Heterogeneities in utilization of antenatal care in Uttar Pradesh, India: the need to contextualize interventions to individual contexts","year":2018,"lang":"en","type":"article","venue":"Global Health Action","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo; University of Toronto; St. Michael's Hospital","funders":"Bill and Melinda Gates Foundation","keywords":"Uttar pradesh; Psychological intervention; Literacy; Multilevel model; Business; Geography; Demography; Socioeconomics; Medicine; Economic growth; Sociology; Economics; Statistics; Nursing; Mathematics","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":[0.006441071,0.0002873465,0.0007693593,0.001321412,0.00404322,0.003897071,0.001645938,0.0007377674,0.001609041],"category_scores_gemma":[0.01335201,0.0004625908,0.0007130037,0.001754697,0.004765544,0.002935959,0.006984415,0.002247641,0.0001203875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005944844,"about_ca_system_score_gemma":0.01085073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0463681,"about_ca_topic_score_gemma":0.08859753,"domain_scores_codex":[0.9896287,0.007272751,0.0003831586,0.0009899451,0.000687821,0.001037709],"domain_scores_gemma":[0.9875872,0.007791281,0.002262188,0.001099982,0.0004891438,0.0007702209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001591635,0.0006631042,0.6353571,0.002077542,0.0004782214,0.001141833,0.1506307,0.003620331,0.00107144,0.01604523,0.00255074,0.1862045],"study_design_scores_gemma":[0.00001795735,0.0003965052,0.7444407,0.00196951,0.0002174791,0.0005110392,0.2196989,0.002035988,0.0004650114,0.01800089,0.01215742,0.00008856416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578455,0.004659706,0.007823822,0.01807642,0.0001208988,0.0004115909,0.0003308415,0.00008496939,0.01064617],"genre_scores_gemma":[0.9935971,0.001400857,0.003802611,0.000672151,0.0000346623,0.0002452557,0.00007762221,0.000009875768,0.0001596891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0463681,"threshold_uncertainty_score":0.0921964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353704053000367,"score_gpt":0.4666515917629295,"score_spread":0.3312811864628928,"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."}}