{"id":"W6964967635","doi":"10.3389/fpubh.2022.838051.s001","title":"Table_1_National Strategies for Preventing and Managing Non-communicable Diseases in Selected Countries.DOCX","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Developed country; Global strategy; Cause of death; Health care; Developing country; Diabetes management; Multimorbidity","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":[0.001567675,0.001270268,0.001338642,0.004402037,0.0005417978,0.002167486,0.002160606,0.001225675,0.2388228],"category_scores_gemma":[0.009666893,0.0008138748,0.001418278,0.01074607,0.0002981369,0.001994208,0.001993556,0.001357303,0.06693724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174994,"about_ca_system_score_gemma":0.003288803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04178479,"about_ca_topic_score_gemma":0.06115643,"domain_scores_codex":[0.9990305,0.0002025352,0.0002436063,0.000202176,0.0001594988,0.0001616534],"domain_scores_gemma":[0.9950648,0.00207997,0.0006679755,0.0004252522,0.001391684,0.000370444],"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":[0.00005580927,0.00001486288,0.001781589,0.005318369,0.00006503283,0.00001896364,0.00004241925,0.0002728881,0.00005574559,0.0006855708,0.9882724,0.003416426],"study_design_scores_gemma":[0.0008771355,0.00003348439,0.02132264,0.00354137,0.0001162601,0.00007874369,0.0002648825,0.0004505328,0.0002058187,0.001077159,0.9719889,0.00004304306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003867938,0.0000399107,0.00002165626,0.00004095874,0.000006866613,0.00001483061,0.9992957,0.00004135217,0.0005000469],"genre_scores_gemma":[0.0006042869,0.0001637654,0.0003751208,0.0001016962,0.000007783884,0.0002977539,0.9976277,0.00006342588,0.0007585082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2388228,"threshold_uncertainty_score":0.7989417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357439050801348,"score_gpt":0.2595876981579705,"score_spread":0.236013307649957,"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."}}