{"id":"W6949807480","doi":"10.5281/zenodo.3820773","title":"Key directions in the organization of health care and prevention actions to reduce mortality from cardiovascular diseases in Ukraine","year":2020,"lang":"ru","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Health care; Stroke (engine); Medical care; MEDLINE; Government (linguistics); Public health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001807001,0.0001870009,0.0005510303,0.0003157181,0.001028871,0.0002051028,0.0003832529,0.0001099254,0.001050211],"category_scores_gemma":[0.002996795,0.0001784388,0.00008921943,0.002663365,0.00009090225,0.0002057377,0.000323106,0.0004576149,0.0002025329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968713,"about_ca_system_score_gemma":0.0001656088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009332442,"about_ca_topic_score_gemma":0.00009751832,"domain_scores_codex":[0.994563,0.002952353,0.0008361255,0.0006024057,0.0006249616,0.0004211571],"domain_scores_gemma":[0.9979332,0.00006647709,0.0002068094,0.0005929832,0.000703237,0.0004972905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001873075,0.0009168967,0.006210729,0.0047096,0.000490495,0.00004428735,0.2217612,0.0003683724,0.0005712247,0.001837282,0.04225598,0.7206466],"study_design_scores_gemma":[0.001248515,0.0008620837,0.269804,0.0005415241,0.0000851593,0.00002380572,0.02327983,0.000127226,0.00002869225,0.00001931106,0.7037967,0.0001830977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109459,0.01559957,0.00408487,0.05258084,0.0003997086,0.006213499,0.002785284,0.0004210073,0.006969335],"genre_scores_gemma":[0.9935115,0.002155691,0.00008503902,0.0006861289,0.0003505363,4.112037e-7,0.002735472,0.0004491101,0.00002611351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7204636,"threshold_uncertainty_score":0.999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09124780616664153,"score_gpt":0.3403636322791758,"score_spread":0.2491158261125343,"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."}}