{"id":"W2164243596","doi":"10.1126/science.1115538","title":"Health Innovation Networks to Help Developing Countries Address Neglected Diseases","year":2005,"lang":"en","type":"article","venue":"Science","topic":"Global Health and Surgery","field":"Medicine","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of California, Los Angeles; Karolinska Institutet; Universidade Federal de Minas Gerais; Medical Research Council; Centre National de la Recherche Scientifique; Wellcome Trust; University of Washington","keywords":"Developing country; Business; Economic growth; Developed country; Sustainability; Public health; Global health; Equity (law); Development economics; Public economics; Health care; Environmental health; Political science; Economics; Medicine; Population","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":[0.0003731969,0.00006969988,0.0001526065,0.0002288055,0.0003303513,0.00003629199,0.00009437757,0.00002203096,0.00001935505],"category_scores_gemma":[0.0004322669,0.00005984405,0.00001086334,0.002917302,0.0001265059,0.0001771259,0.00003652364,0.00006743766,0.0000432014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391599,"about_ca_system_score_gemma":0.002228338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004259803,"about_ca_topic_score_gemma":0.00004461404,"domain_scores_codex":[0.9985616,0.00001481624,0.0002472171,0.000226775,0.0003931327,0.0005564692],"domain_scores_gemma":[0.9990455,0.00003780735,0.0000588225,0.0001507359,0.0003717844,0.0003353696],"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":[0.0006210993,0.0002052989,0.2779562,0.0004895726,0.00001139976,0.00002889125,0.001258602,0.001766976,0.0006903284,0.03576498,0.105907,0.5752997],"study_design_scores_gemma":[0.0002465568,0.0001014674,0.8204319,0.0002879896,0.000002710347,0.00001737716,0.00004713754,0.001850945,0.0002105201,0.00004956052,0.1766403,0.0001135217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078065,0.001609563,0.0106745,0.07768235,0.0007387152,0.0005783312,0.00001027361,0.0001714419,0.0007283438],"genre_scores_gemma":[0.943402,0.0001248987,0.002103452,0.05398423,0.000243441,0.00001055503,0.00001233473,0.000004264987,0.0001148572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5751862,"threshold_uncertainty_score":0.3952975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492522523975601,"score_gpt":0.3482324024554364,"score_spread":0.3233071772156804,"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."}}