{"id":"W2460503493","doi":"10.1128/jcm.01040-16","title":"Automatic Digital Analysis of Chromogenic Media for Vancomycin-Resistant-Enterococcus Screens Using Copan WASPLab","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Regional Laboratory Medicine Program; Hamilton Health Sciences; Université Laval","funders":"","keywords":"Chromogenic; Enterococcus; Vancomycin; Microbiology; Medicine; Biology; Bacteria; Chemistry; Antibiotics; Chromatography; Staphylococcus aureus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079923,0.000128011,0.0007307542,0.0001449124,0.00003596322,0.00001796261,0.0002921609,0.0002327406,0.00008139201],"category_scores_gemma":[0.003534623,0.00008624488,0.000751935,0.0001452222,0.00022945,0.00001214953,0.0000761675,0.00008207809,0.000002467278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001942056,"about_ca_system_score_gemma":0.0001539944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002536115,"about_ca_topic_score_gemma":0.0000503023,"domain_scores_codex":[0.9975546,0.0001837356,0.001769957,0.0002464771,0.00004759744,0.0001976142],"domain_scores_gemma":[0.9971309,0.00065004,0.0013251,0.0002898781,0.0004952537,0.0001087759],"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":[0.0003581495,0.0001382435,0.0256416,0.00001613176,0.0009163322,0.000001141668,0.00001078809,0.000003633849,0.9658766,0.000007712798,0.0002864985,0.006743199],"study_design_scores_gemma":[0.01951844,0.007909194,0.4414831,0.0007045959,0.007614343,0.0003859679,0.0003458638,0.001161525,0.4750451,0.0005419303,0.04384576,0.001444137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933564,0.0001196999,0.005387893,0.0001331072,0.0005473833,0.0001154946,0.0003248928,0.000004169789,0.00001096614],"genre_scores_gemma":[0.9969148,0.00003686421,0.002510977,0.00007468006,0.0003260857,0.000001040762,0.00007300361,0.00001214603,0.00005041796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4908315,"threshold_uncertainty_score":0.4231529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06382803396320497,"score_gpt":0.3689838492109858,"score_spread":0.3051558152477808,"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."}}