{"id":"W4401330762","doi":"10.2196/64915","title":"Correction: Mutations of SARS-CoV-2 Structural Proteins in the Alpha, Beta, Gamma, and Delta Variants: Bioinformatics Analysis","year":2024,"lang":"en","type":"erratum","venue":"JMIR Bioinformatics and Biotechnology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BETA (programming language); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Alpha (finance); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Computational biology; Bioinformatics; Biology; Genetics; Virology; Medicine; Computer science; Pathology; Infectious disease (medical specialty); Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005119709,0.0004722057,0.00104727,0.002663176,0.0001689203,0.0001679961,0.0004328162,0.001598499,0.000005669828],"category_scores_gemma":[0.0001842361,0.0003107854,0.0002388318,0.002950071,0.0008784843,0.0002035157,0.0003329855,0.002133592,0.00001838001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009780288,"about_ca_system_score_gemma":0.0004515739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003691271,"about_ca_topic_score_gemma":0.0008377195,"domain_scores_codex":[0.997279,0.00004367944,0.00125717,0.0003302283,0.0005752627,0.0005146476],"domain_scores_gemma":[0.9983994,0.0001288088,0.0004621174,0.0007863107,0.0001902813,0.00003304984],"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":[0.0007645792,0.0008575908,0.006822911,0.02918159,0.01187331,0.0006439481,0.03370181,0.000005552412,0.007652213,0.01173522,0.5932598,0.3035015],"study_design_scores_gemma":[0.00255233,0.002280864,0.004823128,0.001467538,0.00336898,0.001621305,0.009576698,0.4660526,0.01408834,0.001617799,0.4913644,0.001185996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239744,0.02051812,0.01118468,0.03158491,0.01882016,0.02357904,0.003862275,0.001584422,0.06489202],"genre_scores_gemma":[0.8246517,0.007956702,0.06065424,0.08219445,0.003305454,0.003695386,0.007696926,0.0007207589,0.009124366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660471,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460009921665197,"score_gpt":0.3297895776989585,"score_spread":0.3051894784823065,"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."}}