{"id":"W3217339147","doi":"10.1080/20421338.2021.1985203","title":"Barriers to scaling health technologies in sub-Saharan Africa: Lessons from Ethiopia, Nigeria, and Rwanda","year":2021,"lang":"en","type":"article","venue":"African Journal of Science Technology Innovation and Development","topic":"Global Health and Surgery","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Public Health Ontario; University of Toronto","funders":"","keywords":"Scale (ratio); Business; Health promotion; Developing country; Economic growth; Public relations; Political science; Health care; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834505,0.0001081139,0.0003745355,0.002439835,0.0003022078,0.00003016175,0.0001277113,0.0001222082,0.000006691397],"category_scores_gemma":[0.001956149,0.00009337012,0.0000103425,0.006123435,0.0007097074,0.0001262958,0.0001230111,0.000401655,0.000001521512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460977,"about_ca_system_score_gemma":0.004052768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000655702,"about_ca_topic_score_gemma":0.00001853221,"domain_scores_codex":[0.9982278,0.00002008202,0.0007223405,0.0002680956,0.0003482513,0.0004133775],"domain_scores_gemma":[0.9987945,0.00004813895,0.000249372,0.0001291808,0.0005769125,0.0002019089],"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":[0.000156102,0.00009336775,0.1871343,0.00006801861,0.00003235406,0.0002886576,0.005068076,0.000003707917,0.05058831,0.005760424,0.001198766,0.7496079],"study_design_scores_gemma":[0.00465166,0.001013421,0.4136239,0.002478679,0.00001782382,0.001863514,0.1600967,0.00003927392,0.2233811,0.01477026,0.1772546,0.0008090439],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276851,0.002701806,0.0008981563,0.06830508,0.0001533759,0.0001151356,0.000002901306,0.00004353408,0.00009487589],"genre_scores_gemma":[0.978771,0.0005313425,0.01928814,0.001380882,0.000006522944,0.000005968943,0.000001544867,0.000004159558,0.00001039586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7487989,"threshold_uncertainty_score":0.7189437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107458755880273,"score_gpt":0.3184170231956169,"score_spread":0.2873424356368142,"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."}}