{"id":"W4377942236","doi":"10.3390/v15061226","title":"Machine Learning Algorithms Associate Case Numbers with SARS-CoV-2 Variants Rather Than with Impactful Mutations","year":2023,"lang":"en","type":"article","venue":"Viruses","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Ottawa","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Pandemic; Computer science; Machine learning; 2019-20 coronavirus outbreak; Artificial intelligence; Artificial neural network; Mutation; Computational biology; Biology; Genetics; Gene; Virology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005801627,0.001264724,0.0007111229,0.001602415,0.0003533461,0.001110933,0.000932401,0.001141566,0.001524851],"category_scores_gemma":[0.01685312,0.0003115156,0.0008781696,0.0007827388,0.0004938839,0.00134501,0.0006568832,0.001499096,0.0004936815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007989769,"about_ca_system_score_gemma":0.0007677104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003464628,"about_ca_topic_score_gemma":0.005485512,"domain_scores_codex":[0.9985237,0.0006437512,0.0001227404,0.0004108213,0.0001679,0.0001311391],"domain_scores_gemma":[0.989432,0.008015973,0.001029472,0.0007089844,0.0006477089,0.0001659374],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005463047,0.0005515908,0.2387895,0.00009399525,0.000492471,0.0002447769,0.0001810308,0.6333648,0.002120577,0.002764788,0.002420284,0.1184298],"study_design_scores_gemma":[0.00003348098,0.0001315289,0.01423379,0.00003243525,0.00004435483,0.0001204123,0.00004853452,0.9702023,0.001043695,0.01352724,0.0005587346,0.00002351459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6147742,0.0006516612,0.3758228,0.002092582,0.0002074671,0.0003163382,0.001222286,0.00132373,0.003588885],"genre_scores_gemma":[0.9406821,0.0001554796,0.05684811,0.0002303725,0.00006994449,0.00009088207,0.0009269605,0.00004600706,0.0009500007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9941984,"threshold_uncertainty_score":0.03068233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06891409766135033,"score_gpt":0.3748324888391614,"score_spread":0.3059183911778111,"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."}}