{"id":"W4321790908","doi":"10.7759/cureus.35404","title":"An Equity Analysis of Zero-Dose Children in India Using the National Family Health Survey Data: Status, Challenges, and Next Steps","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Equity (law); Family health; Zero (linguistics); Family medicine; Environmental health; Nursing","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":[0.002980456,0.0002708082,0.0002427836,0.003288161,0.0005454515,0.001225625,0.0006425906,0.0002347402,0.0008317081],"category_scores_gemma":[0.004758055,0.0001677572,0.0007239494,0.004077739,0.0005729382,0.0007949489,0.001530174,0.0006373823,0.000120975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002129198,"about_ca_system_score_gemma":0.002467082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1322975,"about_ca_topic_score_gemma":0.1101373,"domain_scores_codex":[0.9982992,0.0005942756,0.0001459239,0.0001892282,0.0002682319,0.0005032304],"domain_scores_gemma":[0.9965978,0.001514161,0.0008538704,0.0002784598,0.0005237014,0.000231981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001405634,0.0000167083,0.9941943,0.00002928564,0.000049903,0.00006461058,0.0005086584,0.0004792907,0.00003306572,0.000570308,0.000226446,0.00381329],"study_design_scores_gemma":[0.000001560161,0.00004327843,0.9925332,0.00004454479,0.00004928661,0.0001030871,0.00384943,0.002002217,0.0001549841,0.0003144232,0.00089437,0.0000095208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917812,0.0003405733,0.0008641451,0.000369434,0.000008678358,0.00006408185,0.004686768,0.00001048168,0.001874798],"genre_scores_gemma":[0.9979275,0.0001020572,0.0005618266,0.00003037325,0.00000737154,0.0000242207,0.001204214,0.000001658363,0.0001407652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1322975,"threshold_uncertainty_score":0.263055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2499271630607101,"score_gpt":0.4364131120062071,"score_spread":0.1864859489454969,"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."}}