{"id":"W3045078306","doi":"","title":"Guides: Health Indicators & Health-based Statistics: Health Regions & Geography","year":2020,"lang":"en","type":"libguides","venue":"","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health statistics; Geography; Health indicator; Statistics; Health geography; Public health; Environmental health; Population; Health promotion; Medicine; International health; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002738685,0.001467749,0.00124868,0.006812873,0.001118284,0.005080437,0.002298962,0.001675481,0.2763424],"category_scores_gemma":[0.01902214,0.001605117,0.0008210756,0.01424724,0.0007151486,0.004469746,0.00209088,0.002923776,0.2809069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003672692,"about_ca_system_score_gemma":0.01477356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1978009,"about_ca_topic_score_gemma":0.274848,"domain_scores_codex":[0.9980778,0.000362177,0.0002267557,0.0001430392,0.001081076,0.0001092233],"domain_scores_gemma":[0.984531,0.003466297,0.0006804451,0.0006934211,0.009674798,0.0009540021],"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":[0.000002693474,0.000006629388,0.0000736145,0.00009927439,0.000001292629,0.000006241707,0.00005040336,0.00006058876,0.00001976733,0.001397194,0.9781811,0.02010124],"study_design_scores_gemma":[0.00000468659,0.000002458417,0.0003818765,0.0001385172,0.000001363485,0.00001980884,0.00006216065,0.00006046922,0.00002665816,0.001046104,0.9982468,0.000009137813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006545048,0.005729399,0.02827439,0.01734684,0.002664062,0.001660869,0.4767793,0.03167914,0.4352115],"genre_scores_gemma":[0.002579763,0.01187558,0.09447131,0.006916243,0.0008304052,0.002060928,0.2624714,0.01283388,0.6059604],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2763424,"threshold_uncertainty_score":0.9244574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674753403894588,"score_gpt":0.3326944467276401,"score_spread":0.2859469126886942,"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."}}