{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612267,0.0007924885,0.0004828387,0.003935102,0.0003670863,0.000723508,0.000733682,0.0003815193,0.002516936],"category_scores_gemma":[0.005012786,0.0003915627,0.0004250276,0.001254755,0.0004188769,0.0004306665,0.0007512258,0.0003682362,0.0009311763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360208,"about_ca_system_score_gemma":0.0004402357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027705,"about_ca_topic_score_gemma":0.001559906,"domain_scores_codex":[0.9974357,0.0007721037,0.0002416771,0.00040927,0.001041544,0.00009954238],"domain_scores_gemma":[0.9971707,0.001152227,0.0003689888,0.0003016198,0.0008961536,0.0001103094],"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":[0.003231196,0.0005923447,0.1527814,0.0007093175,0.0002218627,0.00070867,0.000792372,0.001372092,0.6323059,0.0009705952,0.003659666,0.2026546],"study_design_scores_gemma":[0.0001459241,0.001518999,0.2257802,0.0001477221,0.000248715,0.002582136,0.0003244258,0.05694119,0.6978577,0.000400241,0.01391375,0.0001389531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8420423,0.00124893,0.1425946,0.0002088461,0.0001919273,0.001300502,0.001260349,0.004421245,0.006731335],"genre_scores_gemma":[0.666569,0.0008241604,0.3245929,0.000281311,0.00005878843,0.001163226,0.001972029,0.000401647,0.004136806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003935102,"threshold_uncertainty_score":0.0138151,"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."}}