{"id":"W2519008100","doi":"10.1186/s40064-016-3046-z","title":"Financial contributions to global surgery: an analysis of 160 international charitable organizations","year":2016,"lang":"en","type":"article","venue":"SpringerPlus","topic":"Global Health and Surgery","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Health care; Liberian dollar; Finance; Specialty; Currency; Business; Medicine; Economics; Family medicine; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003158749,0.00008959643,0.0003782794,0.0002849356,0.00006747918,0.000008690115,0.00008903957,0.00007346949,0.0007145482],"category_scores_gemma":[0.002237919,0.00006997077,0.0001252381,0.00171554,0.00003335725,0.00009232186,0.0000435548,0.00003833579,0.00007255654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476001,"about_ca_system_score_gemma":0.0006373977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004083396,"about_ca_topic_score_gemma":0.000339369,"domain_scores_codex":[0.9988406,0.00002535979,0.0003446608,0.0002134166,0.000257506,0.0003185095],"domain_scores_gemma":[0.998485,0.00008895706,0.00007799015,0.0002613948,0.0007785905,0.0003081147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001486575,0.0002229908,0.9694736,0.00001148919,0.0002160353,0.00001667173,0.00003490835,0.00002441169,0.001135321,0.01883199,0.003835661,0.006048269],"study_design_scores_gemma":[0.0003996174,0.00005546615,0.9825432,0.00005647252,0.0002882241,0.00000714749,0.00001569074,0.0001802331,0.0006550774,0.0001927058,0.01550461,0.0001015425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781119,0.00005279737,0.01276053,0.005888775,0.0006910431,0.0001621887,0.001056762,0.00006557085,0.001210457],"genre_scores_gemma":[0.9983282,0.00003072952,0.0002950133,0.0007704363,0.000173642,0.000009461916,0.0001111102,0.000006000666,0.0002754132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02021632,"threshold_uncertainty_score":0.7823802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031023740406419,"score_gpt":0.3177466585522162,"score_spread":0.3074364211481521,"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."}}