{"id":"W2800937162","doi":"10.1186/s12961-018-0309-x","title":"Generating evidence for health policy in challenging settings: lessons learned from four prevention of mother-to-child transmission of HIV implementation research studies in Nigeria","year":2018,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; National Institutes of Health; Global Affairs Canada; U.S. President’s Emergency Plan for AIDS Relief; World Health Organization; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Aeronautics and Space Administration","keywords":"Medicine; Incentive; Health services research; Context (archaeology); Implementation research; Nursing; Capacity building; Health administration; Community mobilization; Public health; Public relations; Economic growth; Political science; Psychological intervention","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3193167,0.00126277,0.002805169,0.003660841,0.006903348,0.0161514,0.00558798,0.006981849,0.003526432],"category_scores_gemma":[0.2885033,0.001664851,0.002695616,0.004531984,0.01003865,0.01287697,0.01774339,0.010687,0.000402614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01627652,"about_ca_system_score_gemma":0.06978935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007588918,"about_ca_topic_score_gemma":0.02765632,"domain_scores_codex":[0.7583451,0.2122836,0.01304598,0.002187365,0.005579008,0.008558967],"domain_scores_gemma":[0.438834,0.4931337,0.01649488,0.01202463,0.02759858,0.01191417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001516795,0.002638721,0.0304407,0.05257158,0.001170997,0.006889527,0.2581962,0.002867536,0.001675212,0.02513754,0.009927369,0.6069678],"study_design_scores_gemma":[0.001291585,0.006526919,0.03294332,0.2046573,0.00158239,0.002655482,0.5460138,0.001673574,0.003722269,0.04305019,0.155438,0.0004451946],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3607507,0.2022711,0.02501529,0.3632002,0.003004082,0.01315416,0.0005092874,0.0001588785,0.03193625],"genre_scores_gemma":[0.7118648,0.1279557,0.1171614,0.02875542,0.0007543464,0.01000266,0.0003054807,0.0001212395,0.003078909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3193167,"threshold_uncertainty_score":0.8394037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9411349955843059,"score_gpt":0.7937133703334168,"score_spread":0.1474216252508891,"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."}}