{"id":"W7117541148","doi":"10.2196/89673","title":"Correction: Structural and Functional Impacts of SARS-CoV-2 Spike Protein Mutations: Insights From Predictive Modeling and Analytics","year":2025,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fogarty International Center","keywords":"Spike (software development); Analytics; Pattern recognition (psychology); Feature (linguistics); Data analysis; Spike train","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":[],"consensus_categories":[],"category_scores_codex":[0.00005396421,0.0001742352,0.0002169246,0.0001927233,0.0001298715,0.00004479652,0.00007414988,0.0003694356,8.172652e-7],"category_scores_gemma":[0.00006302172,0.0001427627,0.00003340447,0.0001664975,0.0001923805,0.00002969285,0.0002186133,0.0001584423,3.213738e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040674,"about_ca_system_score_gemma":0.00005625848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000432376,"about_ca_topic_score_gemma":0.00003307148,"domain_scores_codex":[0.9991962,0.000009671395,0.0004153531,0.0001631938,0.00007272996,0.000142799],"domain_scores_gemma":[0.9995053,0.00001273315,0.0001641284,0.0001986472,0.00009144877,0.00002768564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006947988,0.0001196668,0.003693171,0.000840698,0.000963179,0.000001494945,0.001614704,0.0006759815,0.9406673,0.01036991,0.001163247,0.03919582],"study_design_scores_gemma":[0.001067815,0.0004728914,0.003435164,0.0001162705,0.00006151955,0.00003308677,0.002047319,0.7618505,0.2272083,0.002874756,0.000599125,0.0002332843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789808,0.001132861,0.01892818,0.000215381,0.0001039541,0.0003659469,0.00004051749,0.00002076698,0.0002116334],"genre_scores_gemma":[0.9954383,0.0004092686,0.003845538,0.00008869662,0.00002220256,0.00002091385,0.0001421284,0.000006408029,0.00002657495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7611744,"threshold_uncertainty_score":0.5821695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265714559748581,"score_gpt":0.2455265012196176,"score_spread":0.2328693556221318,"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."}}