{"id":"W4367309683","doi":"10.1136/jech-2022-219995","title":"Impact evaluation of the TAMANI project to improve maternal and child health in Tanzania","year":2023,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; CARE Canada; McGill University","funders":"Government of Canada","keywords":"Medicine; Attendance; Tanzania; Psychological intervention; Birth attendant; Health facility; Postnatal Care; Family medicine; Health care; Intervention (counseling); Program evaluation; Nursing; Environmental health; Pregnancy; Population; Maternal health; Health services","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01451972,0.001275268,0.0006540792,0.0009724481,0.0008461552,0.0007064093,0.001207326,0.0006811224,0.004052983],"category_scores_gemma":[0.009279711,0.0004004967,0.001082369,0.0006485886,0.00116956,0.0006241284,0.00284937,0.0008739671,0.000238958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005485985,"about_ca_system_score_gemma":0.01144168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784141,"about_ca_topic_score_gemma":0.0192257,"domain_scores_codex":[0.9888663,0.008492758,0.0003333564,0.0002751874,0.0006361501,0.001396366],"domain_scores_gemma":[0.9948698,0.001409739,0.00100192,0.0003199715,0.0007936411,0.001604955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1132525,0.05186488,0.1782139,0.01732351,0.002534987,0.002928325,0.01269513,0.02625926,0.006727437,0.008619981,0.01623943,0.5633408],"study_design_scores_gemma":[0.07114974,0.2526736,0.6385271,0.004378816,0.002533254,0.0004594444,0.005456891,0.007120777,0.003249637,0.002317109,0.01199161,0.0001420796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790515,0.001507721,0.001054695,0.001654103,0.0001095079,0.009988428,0.001833781,0.00008669728,0.004713706],"genre_scores_gemma":[0.9874871,0.0005581565,0.002884554,0.0003445945,0.00003483319,0.007448453,0.0005945295,0.000006701284,0.0006411067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784141,"threshold_uncertainty_score":0.07678854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150912045137959,"score_gpt":0.4681021936938389,"score_spread":0.353010989180043,"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."}}