{"id":"W4312938396","doi":"10.2196/35452","title":"Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slum; Medicine; Environmental health; Socioeconomic status; Pregnancy; Health care; Health facility; Population; Economic growth; Health services","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02720159,0.001564805,0.001083715,0.0009950679,0.001564499,0.001534055,0.00265721,0.001812649,0.01068487],"category_scores_gemma":[0.02822026,0.001309882,0.004238976,0.0009695224,0.000901335,0.001163346,0.001824379,0.002680195,0.001590878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286655,"about_ca_system_score_gemma":0.008947409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130288,"about_ca_topic_score_gemma":0.009606979,"domain_scores_codex":[0.9920467,0.005928449,0.0005978141,0.000619607,0.0004538142,0.0003536801],"domain_scores_gemma":[0.986337,0.0072879,0.001387229,0.00160649,0.002872882,0.0005085365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03178613,0.05726806,0.3050716,0.01154713,0.004183915,0.001807084,0.01391673,0.1717781,0.006678395,0.02463475,0.03707972,0.3342484],"study_design_scores_gemma":[0.03181192,0.08885293,0.3119724,0.006036012,0.005616773,0.0006986135,0.01711094,0.4052086,0.01803013,0.03074956,0.08282416,0.00108802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2033388,0.0002326461,0.07230845,0.001018861,0.0001977506,0.705454,0.01332268,0.0003429134,0.003783912],"genre_scores_gemma":[0.09918631,0.0001264684,0.07988767,0.0002516516,0.00001552762,0.8162317,0.003257268,0.00001883151,0.0010245],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02720159,"threshold_uncertainty_score":0.1438575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2224410156197082,"score_gpt":0.544288897167868,"score_spread":0.3218478815481598,"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."}}