{"id":"W4255903987","doi":"10.34883/pi.2020.9.4.026","title":"Global Monitoring Information System for Epidemiologists (on the Material of Big Data on COVID-19)","year":2021,"lang":"ru","type":"article","venue":"Клиническая инфектология и паразитология","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Factorial; Factorial experiment; Factorial analysis; Statistics; Extrapolation; Fractional factorial design; Mathematics; Coronavirus disease 2019 (COVID-19); Matrix (chemical analysis); Main effect; Medicine","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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005882297,0.001285455,0.002254419,0.0004325903,0.0009469923,0.0004323753,0.002466257,0.001066488,0.0001963264],"category_scores_gemma":[0.03449845,0.001029652,0.0006768412,0.001647077,0.0006665683,0.000624467,0.001473874,0.0008118632,0.0004563185],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004280357,"about_ca_system_score_gemma":0.004697254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122371,"about_ca_topic_score_gemma":0.00009720986,"domain_scores_codex":[0.9896168,0.001634903,0.003161075,0.001928119,0.001820224,0.001838953],"domain_scores_gemma":[0.9811743,0.008328769,0.002064755,0.00625627,0.001074285,0.001101578],"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":[0.01733086,0.004807684,0.1001404,0.04596856,0.005045336,0.001143956,0.004252592,0.01146377,0.004423125,0.1221629,0.5765194,0.1067414],"study_design_scores_gemma":[0.01981087,0.004299626,0.03102014,0.01680033,0.003674232,0.0004830754,0.01352068,0.01037267,0.04670417,0.001537338,0.8483073,0.003469602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4028084,0.004542401,0.0281356,0.4029901,0.0807237,0.01516346,0.05800487,0.00231153,0.005319948],"genre_scores_gemma":[0.9656059,0.00051291,0.0008153357,0.02379518,0.006251899,0.0003726131,0.002349612,0.0001382205,0.0001583678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5627975,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2347261728101327,"score_gpt":0.4133354498857459,"score_spread":0.1786092770756132,"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."}}