{"id":"W3101802640","doi":"","title":"Global Philanthropy Tracker 2020","year":2020,"lang":"en","type":"article","venue":"IUScholarWorks (Indiana University)","topic":"Global Health and Surgery","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Indiana University-Purdue University Indianapolis; John Templeton Foundation; Bill and Melinda Gates Foundation; Carnegie Corporation of New York","keywords":"Computer science; Political science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.002868814,0.0007700715,0.0003787692,0.003481362,0.0009285145,0.004382235,0.0006392722,0.001172366,0.06221727],"category_scores_gemma":[0.007007634,0.0002610116,0.0003761649,0.005477448,0.0003668414,0.003088333,0.002961054,0.002147228,0.04429046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218741,"about_ca_system_score_gemma":0.005682202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004195411,"about_ca_topic_score_gemma":0.004352089,"domain_scores_codex":[0.9984718,0.0003001521,0.00009327926,0.0001604642,0.0007214301,0.0002528226],"domain_scores_gemma":[0.9957107,0.0004900017,0.0007507933,0.000256098,0.001785527,0.001006839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005732586,0.00001801578,0.001682231,0.000244924,0.000006536298,0.00003212,0.00007098547,0.0001663013,0.0001786889,0.007555882,0.9101366,0.07985031],"study_design_scores_gemma":[0.00001158454,0.00001445348,0.002528952,0.00007762596,0.000002262812,0.00004238876,0.0000443614,0.0001160902,0.00009579001,0.0009769659,0.9960835,0.000006013909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007692704,0.007286853,0.00814928,0.02139663,0.01217675,0.0005905444,0.2058374,0.007168522,0.7297013],"genre_scores_gemma":[0.08929763,0.01818724,0.02974822,0.01429226,0.004527282,0.002689917,0.4423316,0.003397735,0.395528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06221727,"threshold_uncertainty_score":0.2081375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561346842021889,"score_gpt":0.2450758130257047,"score_spread":0.2294623446054858,"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."}}