{"id":"W2984776490","doi":"10.17269/s41997-019-00247-8","title":"Systematic analysis of global health research funding in Canada, 2000–2016","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Global Health and Surgery","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Impact; University of Toronto; Ottawa Public Health; Centre for Global Health Research; McMaster University; Centre for Disability Prevention and Rehabilitation; Public Health Ontario; York University","funders":"Canadian Institutes of Health Research; Norges Forskningsråd; Government of Ontario","keywords":"Global health; Political science; Equity (law); Public health; Economic growth; Medicine; Health care; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02760889,0.001127825,0.002407624,0.03187124,0.004779811,0.004885185,0.003077361,0.0008700361,0.002296008],"category_scores_gemma":[0.1116362,0.001130457,0.002391985,0.06673958,0.002720893,0.001707902,0.005105509,0.001794652,0.0002338978],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1513964,"about_ca_system_score_gemma":0.4878699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939513,"about_ca_topic_score_gemma":0.9965576,"domain_scores_codex":[0.9624356,0.005627167,0.006541029,0.00340794,0.0181995,0.003788707],"domain_scores_gemma":[0.8946839,0.01787319,0.01614163,0.00353194,0.06044238,0.007327022],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008088719,0.00007258145,0.5130458,0.08356151,0.006915304,0.0004442932,0.0124361,0.001917575,0.0004347974,0.009115092,0.1749466,0.1963014],"study_design_scores_gemma":[0.0002772129,0.00007726108,0.7439316,0.05617597,0.005149344,0.0002758049,0.01218758,0.001004349,0.0005822403,0.001272566,0.178787,0.0002791591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1590409,0.3527747,0.003551277,0.02119039,0.00152353,0.003102328,0.4348104,0.0004799333,0.02352656],"genre_scores_gemma":[0.6996196,0.1820687,0.01238254,0.00642307,0.0002767262,0.004531051,0.09053788,0.0001860996,0.003974347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9723911,"threshold_uncertainty_score":0.9842598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140486631634479,"score_gpt":0.3989715953821156,"score_spread":0.2849229322186677,"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."}}