{"id":"W6949901547","doi":"10.5281/zenodo.3820865","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":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00210543,0.0003158154,0.0008835738,0.0006741862,0.001467219,0.0002839327,0.000529065,0.000232012,0.0009830431],"category_scores_gemma":[0.003437913,0.0003089227,0.0001482377,0.003165839,0.00008302637,0.0002271776,0.0002397975,0.0007680485,0.0002209754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008178815,"about_ca_system_score_gemma":0.0003061484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569577,"about_ca_topic_score_gemma":0.000379334,"domain_scores_codex":[0.9929112,0.003546661,0.001247745,0.0008748771,0.0009088579,0.000510632],"domain_scores_gemma":[0.9969624,0.00009499276,0.0004248954,0.0008129591,0.001215282,0.0004894388],"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":[0.000309009,0.001127476,0.002942322,0.009269141,0.00079247,0.00005248298,0.2751286,0.0002033787,0.0006579023,0.002053344,0.02061282,0.686851],"study_design_scores_gemma":[0.00137632,0.0009110254,0.3407317,0.001546091,0.0001906264,0.00002995952,0.05509188,0.00008032221,0.00004795319,0.00003370224,0.5996415,0.0003189479],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937906,0.01804434,0.002180981,0.01401378,0.0009624766,0.01032709,0.003947737,0.0005212505,0.01209632],"genre_scores_gemma":[0.9653668,0.003666926,0.00009740099,0.0002787396,0.0003581686,0.000001299766,0.02932566,0.0008137403,0.00009131003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6865321,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06992091756582594,"score_gpt":0.3498163654473033,"score_spread":0.2798954478814774,"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."}}