{"id":"W4388367274","doi":"10.1093/oso/9780195300277.002.0005","title":"Some Abbreviations and Acronyms Used in International Health","year":2009,"lang":"en","type":"other","venue":"","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scholarship; Subject (documents); Epidemiology; Library science; History; Medicine; Computer science; Political science; Pathology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002403967,0.001734111,0.001416851,0.02167488,0.001127199,0.003360385,0.001576157,0.001224735,0.4161755],"category_scores_gemma":[0.01641743,0.0006543894,0.0006355134,0.02923869,0.0007378763,0.002642809,0.002088459,0.00238932,0.2139761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167146,"about_ca_system_score_gemma":0.004545411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037868,"about_ca_topic_score_gemma":0.02024627,"domain_scores_codex":[0.9979074,0.0004203743,0.0004095694,0.000240133,0.0007594875,0.0002631471],"domain_scores_gemma":[0.9881976,0.003305125,0.001160724,0.001011841,0.005072321,0.001252355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001122614,0.000009687779,0.0002864781,0.0002446634,0.000002066956,0.000009149386,0.00004983706,0.00005120975,0.00001705024,0.003556291,0.9823431,0.01341925],"study_design_scores_gemma":[0.0000102802,0.000009912386,0.003097095,0.0002202472,0.000004645807,0.00002770755,0.0001443348,0.00006230608,0.00006508595,0.001484988,0.9948646,0.000008827229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008488689,0.006381032,0.003964042,0.004562132,0.01228031,0.0005347115,0.5252876,0.001782952,0.4443583],"genre_scores_gemma":[0.007252248,0.01225326,0.006203794,0.001315718,0.00474698,0.001414662,0.3299586,0.002267745,0.6345871],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4161755,"threshold_uncertainty_score":0.8327548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194700449153434,"score_gpt":0.2818747681864284,"score_spread":0.249927763694894,"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."}}