{"id":"W4320481940","doi":"10.1186/s40834-022-00206-8","title":"Cost-effectiveness of increased contraceptive coverage using family planning benefits cards compared with the standard of care for young women in Uganda","year":2023,"lang":"en","type":"article","venue":"Contraception and Reproductive Medicine","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Unintended pregnancy; Family planning; Medicine; Demography; Population; Cost–benefit analysis; Actuarial science; Environmental health; Economics; Research methodology; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006799779,0.001108938,0.001419882,0.00119264,0.0003113639,0.001545449,0.001220553,0.001154261,0.003183438],"category_scores_gemma":[0.02358601,0.0007424962,0.002752278,0.001033338,0.0007245547,0.001357562,0.001731858,0.001549603,0.00009465793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00668093,"about_ca_system_score_gemma":0.003175839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421215,"about_ca_topic_score_gemma":0.008799901,"domain_scores_codex":[0.9917602,0.006593514,0.00025342,0.0003190249,0.0004559364,0.0006179602],"domain_scores_gemma":[0.9894934,0.008118425,0.001319465,0.0001669877,0.0003417382,0.000560018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.02700022,0.002165482,0.07549362,0.004878915,0.006227709,0.0008303308,0.0005808873,0.7726478,0.000598087,0.004616852,0.001573998,0.1033861],"study_design_scores_gemma":[0.01360169,0.04519126,0.1335542,0.005253553,0.01215456,0.00131441,0.001677084,0.7641212,0.002154681,0.01524096,0.00542119,0.000315122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989423,0.005226851,0.001454448,0.0007134157,0.0000525225,0.0004940857,0.0007797665,0.00002804391,0.001828],"genre_scores_gemma":[0.9974858,0.001110984,0.0008261016,0.00006990867,0.000007838711,0.0002027407,0.0001537274,0.000002563963,0.0001403325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01421215,"threshold_uncertainty_score":0.04847383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130364453047229,"score_gpt":0.3361288878152138,"score_spread":0.2948252432847415,"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."}}