{"id":"W7056785306","doi":"","title":"Global, regional, & national burden of rheumatic heart disease, 1990-2015","year":2017,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Heart disease; Diabetes mellitus; MEDLINE; Epidemiology; Heart failure","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":[],"consensus_categories":[],"category_scores_codex":[0.0007338267,0.0003154402,0.0003252246,0.0025003,0.0002286176,0.000608817,0.0006206675,0.0004712323,0.003658327],"category_scores_gemma":[0.003726602,0.0003099639,0.0008756333,0.005932621,0.0002693353,0.0009054203,0.001177357,0.000774885,0.001148671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400179,"about_ca_system_score_gemma":0.002437948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2186131,"about_ca_topic_score_gemma":0.2885486,"domain_scores_codex":[0.9994476,0.000098791,0.00012338,0.00007840161,0.0001636528,0.00008799693],"domain_scores_gemma":[0.9983457,0.0001412716,0.0007748811,0.00004272557,0.0004765929,0.0002187444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001628805,0.00004655274,0.9044846,0.000737668,0.0003583829,0.00008503889,0.0005163818,0.00125991,0.0001364744,0.001251048,0.07013111,0.02083005],"study_design_scores_gemma":[0.000008298282,0.00001984029,0.986012,0.00009192955,0.00007597607,0.0001519758,0.0002677741,0.0003097546,0.00003632534,0.0001098157,0.01291021,0.000006064522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3718666,0.01466219,0.001355068,0.00407109,0.0004430676,0.0001261432,0.5883432,0.0005512362,0.01858128],"genre_scores_gemma":[0.8107796,0.007899547,0.001933964,0.0004947216,0.0001800564,0.0001914232,0.1678767,0.00005435493,0.01058962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2186131,"threshold_uncertainty_score":0.4346812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120794577774102,"score_gpt":0.3475196625899939,"score_spread":0.2354402048125837,"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."}}