{"id":"W3205095382","doi":"10.1128/aac.01370-21","title":"Linear Regression Equations To Predict β-Lactam, Macrolide, Lincosamide, and Fluoroquinolone MICs from Molecular Antimicrobial Resistance Determinants in <i>Streptococcus pneumoniae</i>","year":2021,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Health and Social Services; Queen Elizabeth II Health Sciences Centre; Government of New Brunswick; BC Centre for Disease Control; Public Health Ontario; Government of Northwest Territories; Provincial Laboratory of Public Health; University of Toronto; Ste. Anne's Hospital; University of Manitoba; Mount Sinai Hospital; Public Health Agency of Canada","funders":"","keywords":"Antimicrobial; Streptococcus pneumoniae; Penicillin; Antibiotic resistance; Linear regression; Regression; Regression analysis; Minimum inhibitory concentration","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":[0.004120458,0.001672508,0.0006394793,0.001119025,0.0001828644,0.001132795,0.0008506127,0.0008659757,0.004652903],"category_scores_gemma":[0.01838402,0.0007261411,0.001403307,0.0009035566,0.0002003731,0.0006814448,0.0006426929,0.001754608,0.002689653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127887,"about_ca_system_score_gemma":0.001178644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234446,"about_ca_topic_score_gemma":0.01159158,"domain_scores_codex":[0.9977527,0.001254562,0.0001977882,0.0004026883,0.0002862642,0.0001059599],"domain_scores_gemma":[0.9903001,0.007858071,0.0007083174,0.0001994437,0.0008703497,0.00006367811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001438886,0.001211674,0.2111322,0.000692781,0.001624579,0.0003083535,0.0003637251,0.4256701,0.01007447,0.003415781,0.01183686,0.3322307],"study_design_scores_gemma":[0.0000797735,0.0003760972,0.01642339,0.00006909447,0.0001594122,0.0002059355,0.00006606792,0.9764339,0.002658935,0.0009944495,0.002495212,0.00003768618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3438467,0.002233716,0.6313067,0.001231343,0.0004523556,0.0007598113,0.006342814,0.006471318,0.007355209],"genre_scores_gemma":[0.8126696,0.001030365,0.1721663,0.0003503736,0.0001034016,0.0009688123,0.003996166,0.0003168004,0.0083981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234446,"threshold_uncertainty_score":0.02454519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232708190139702,"score_gpt":0.2786052739098182,"score_spread":0.2662781920084212,"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."}}