{"id":"W4205183007","doi":"10.21203/rs.3.rs-99032/v1","title":"Providing Measurement, Evaluation, Accountability, and Leadership Support for NCDs Prevention in Ghana: Adapting the INFORMAS Approach  ","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"International Development Research Centre","keywords":"Accountability; Medicine; Political science","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":[0.07881515,0.0007059681,0.0005197283,0.001177725,0.00416244,0.003790649,0.00205398,0.001433923,0.007213578],"category_scores_gemma":[0.07472621,0.0008565114,0.0006838512,0.001822925,0.00356885,0.00375045,0.007910483,0.003764421,0.00114985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01064523,"about_ca_system_score_gemma":0.07244694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342213,"about_ca_topic_score_gemma":0.03625678,"domain_scores_codex":[0.9470962,0.04412469,0.00225209,0.001135078,0.002457157,0.002934732],"domain_scores_gemma":[0.9288315,0.03294516,0.01012448,0.005118025,0.008350785,0.01462998],"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":[0.0006984971,0.004178959,0.08247475,0.006201184,0.0001322329,0.001677053,0.1752961,0.001225449,0.003197785,0.01042968,0.0616597,0.6528286],"study_design_scores_gemma":[0.002643417,0.006112191,0.2358229,0.01964495,0.0003585329,0.0009417028,0.310924,0.002676472,0.007774847,0.01754002,0.3952169,0.0003440481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5979818,0.006197167,0.06060695,0.1743847,0.002321852,0.09184213,0.003415545,0.001107252,0.06214271],"genre_scores_gemma":[0.6849203,0.005304503,0.2253868,0.01231772,0.0003018689,0.06364044,0.001034271,0.000157753,0.006936438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07881515,"threshold_uncertainty_score":0.4168193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5829678587454717,"score_gpt":0.4082334320014819,"score_spread":0.1747344267439899,"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."}}