{"id":"W4308562650","doi":"10.1101/2022.11.07.515557","title":"Normalized Semi-Covariance Co-Efficiency Analysis of Spike Proteins from SARS-CoV-2 variant Omicron and Other Coronaviruses for their Infectivity and Virulence","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa; Carleton University; McGill University","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Isoelectric point; Amino acid; Covariance; Infectivity; Virulence; Biology; Titration; Chemistry; Biological system; Biochemistry; Mathematics; Gene; Genetics; Statistics; Virus","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005509642,0.0004494817,0.0007882621,0.0002285764,0.0001778396,0.00009101204,0.0003714257,0.0003631684,0.00002567772],"category_scores_gemma":[0.0001727002,0.0004377459,0.0002758722,0.0004582243,0.0002615503,0.0000184665,0.0005249661,0.0002627326,8.145919e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005735199,"about_ca_system_score_gemma":0.0002654167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931259,"about_ca_topic_score_gemma":0.0001095539,"domain_scores_codex":[0.9977151,0.0001620244,0.0004683677,0.001126481,0.0001911565,0.0003369401],"domain_scores_gemma":[0.9981601,0.00006631426,0.0005713063,0.0009232807,0.0001929873,0.0000860338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001627285,0.0001682764,0.02658266,0.0001255508,0.00127652,0.000004990646,0.00001883769,0.0001982238,0.9713762,0.00006599879,0.0000131226,0.000006869697],"study_design_scores_gemma":[0.0005111457,0.0001532652,0.03841959,0.00005649527,0.0009691789,2.638875e-8,0.000006117043,0.00180398,0.9538717,0.000005960136,0.003664341,0.0005382436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731014,0.00224903,0.0197916,0.00002630722,0.00009778205,0.0007101122,0.003985912,0.00003267847,0.000005165571],"genre_scores_gemma":[0.9964478,0.0006010284,0.00222233,0.0002842942,0.00008746668,0.0002911438,0.00001027533,0.00005356057,0.000002088276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0233464,"threshold_uncertainty_score":0.9998074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029176695994624,"score_gpt":0.2618866173606529,"score_spread":0.2415948504007067,"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."}}