{"id":"W3037349559","doi":"","title":"ЭПИДЕМИИ ТЯЖЕЛОГО ОСТРОГО РЕСПИРАТОРНОГО СИНДРОМА В МИРЕ (ОБЗОР)","year":2020,"lang":"ru","type":"article","venue":"Acta Biomedica Scientifica (East Siberian Biomedical Journal)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Disease; Medicine; Crowds; Geography; Pathology","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":[0.001520167,0.0004049568,0.0007005048,0.003236363,0.0007607738,0.001539071,0.00050224,0.0004252759,0.01217323],"category_scores_gemma":[0.003026466,0.0003114458,0.0005204304,0.002893701,0.0008385801,0.0008256501,0.0005386465,0.0007155327,0.004304523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008394544,"about_ca_system_score_gemma":0.002328689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016967,"about_ca_topic_score_gemma":0.004503422,"domain_scores_codex":[0.9991592,0.0002366323,0.0001088934,0.0001127928,0.0003268711,0.00005570988],"domain_scores_gemma":[0.998237,0.0007182954,0.0004172232,0.0001425884,0.000381514,0.0001033082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003640341,0.0001581157,0.01478003,0.005791848,0.0001430125,0.002226526,0.001408478,0.0003957487,0.01562151,0.01598866,0.01139413,0.9317279],"study_design_scores_gemma":[0.00004708917,0.0009010322,0.05089675,0.002118747,0.0005458536,0.01127715,0.001560107,0.0003084252,0.01639534,0.008964083,0.9068838,0.0001017032],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07567145,0.7994696,0.01782258,0.003386303,0.00255633,0.0005280402,0.002125839,0.0002669087,0.09817296],"genre_scores_gemma":[0.3832733,0.5277231,0.04467278,0.0007751095,0.001176486,0.0007753354,0.001791989,0.0001808309,0.03963105],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01217323,"threshold_uncertainty_score":0.0407235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198838263470639,"score_gpt":0.3750293041913797,"score_spread":0.1761910407207407,"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."}}