{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001143146,0.0004202494,0.000647261,0.0008927734,0.000268555,0.001138374,0.0004997441,0.0007342341,0.001802337],"category_scores_gemma":[0.001555852,0.0002267825,0.0008827569,0.0006458361,0.000378567,0.0009698814,0.0003222399,0.00152723,0.002023929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007940067,"about_ca_system_score_gemma":0.001060626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010634,"about_ca_topic_score_gemma":0.0008472456,"domain_scores_codex":[0.9995831,0.00007738113,0.00006511361,0.00006246216,0.0001376575,0.00007438008],"domain_scores_gemma":[0.9996343,0.00005113077,0.00008702846,0.00003109501,0.000157275,0.00003924177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001145894,0.0004628259,0.01976731,0.004671074,0.0002117888,0.001363992,0.0003719289,0.001420737,0.6341116,0.004506271,0.03905089,0.2929157],"study_design_scores_gemma":[0.0001958322,0.002492099,0.04730244,0.001613008,0.0004862407,0.01100054,0.0006805879,0.003656694,0.3797966,0.003785819,0.548852,0.0001381909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4071129,0.4571087,0.05179996,0.01621268,0.003640179,0.002154706,0.01956295,0.0007504653,0.0416575],"genre_scores_gemma":[0.6382245,0.219718,0.05751919,0.007595524,0.001267458,0.001553911,0.05066733,0.000312097,0.02314203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001802337,"threshold_uncertainty_score":0.00604558,"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."}}