{"id":"W4391749453","doi":"10.31482/mmsl.2024.003","title":"MOLECULAR CHARACTERIZATION, CLINICAL MANAGEMENT AND DEVELOPMENT OF THE VACCINES AGAINST THE TARGETED VIRAL COMPONENTS OF COVID-19","year":2024,"lang":"en","type":"article","venue":"Military Medical Science Letters","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Prince Edward Island; Amgen (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Characterization (materials science); Computational biology; Medicine; Biology; Nanotechnology; Materials science; Pathology; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002498191,0.0001073991,0.000203044,0.0001283691,0.0001662835,0.00001058747,0.0005681815,0.00004988787,0.00001532704],"category_scores_gemma":[0.0006452393,0.000055416,0.0000734007,0.0006952439,0.001616361,0.00007232254,0.0003749557,0.0002525901,0.000004824276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008135878,"about_ca_system_score_gemma":0.0005548116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004579955,"about_ca_topic_score_gemma":0.00000585748,"domain_scores_codex":[0.9971512,0.0001392158,0.0005136916,0.0003544168,0.001571145,0.0002703644],"domain_scores_gemma":[0.9992869,0.0001685275,0.000039909,0.0003205827,0.00004558634,0.0001385302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001423991,0.0002153193,0.09852606,0.0009068173,0.0001664516,0.0002463273,0.002037895,0.000003646103,0.8535705,0.000170669,0.001068948,0.04294497],"study_design_scores_gemma":[0.001652045,0.0001216068,0.7799203,0.0005593036,0.00007025287,0.00003191423,0.0003986761,0.008741193,0.05972969,0.00005942539,0.1485031,0.00021241],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647526,0.0004873934,0.001863398,0.03213153,0.0002842178,0.0004126094,0.000003841428,0.00002130812,0.00004314183],"genre_scores_gemma":[0.8582665,0.00002306455,0.0002653728,0.1413678,0.00004574484,0.00001576363,0.000005904592,0.000006160712,0.000003747102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7938408,"threshold_uncertainty_score":0.5955551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091846647862846,"score_gpt":0.3554080533559898,"score_spread":0.3144895868773613,"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."}}