{"id":"W2098597269","doi":"10.1128/jcm.38.6.2051-2054.2000","title":"Rapid Detection of <i>mecA</i> -Positive and <i>mecA</i> -Negative Coagulase-Negative Staphylococci by an Anti-Penicillin Binding Protein 2a Slide Latex Agglutination Test","year":2000,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"SCCmec; Microbiology; Latex fixation test; Penicillin; Coagulase; Penicillin binding proteins; Staphylococcus; Biology; Agar Dilution Method; Micrococcaceae; Agar dilution; Staphylococcus aureus; Antibacterial agent; Antibiotics; Bacteria; Minimum inhibitory concentration; Methicillin-resistant Staphylococcus aureus; Immunology; Antibody; Genetics","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":[0.0006000052,0.000504402,0.0005147593,0.0007924077,0.0001191466,0.0003157038,0.0002953998,0.0003555721,0.001575113],"category_scores_gemma":[0.001585334,0.0002414866,0.0002171724,0.0003756615,0.0002889702,0.0002714117,0.0002769613,0.0002784368,0.0004360949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414132,"about_ca_system_score_gemma":0.0002232809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008638457,"about_ca_topic_score_gemma":0.001041174,"domain_scores_codex":[0.9993042,0.0001187566,0.00008895277,0.0001271045,0.0002688061,0.00009224792],"domain_scores_gemma":[0.9990928,0.0002940392,0.0002060407,0.00003833233,0.0002367202,0.0001320149],"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":[0.002452415,0.0005717045,0.4166049,0.0003764859,0.0001030179,0.00317795,0.0007112223,0.0002387844,0.544212,0.0001889654,0.0008864306,0.0304761],"study_design_scores_gemma":[0.0001942139,0.005411517,0.8001279,0.00008506097,0.0001462808,0.01223476,0.0007380974,0.003138133,0.1730001,0.0001003822,0.004749456,0.00007418343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929899,0.0009005867,0.003674281,0.00003609396,0.00003706945,0.000140342,0.0003954516,0.00005708876,0.001769203],"genre_scores_gemma":[0.9881429,0.0004717957,0.008608815,0.00009575745,0.00002632479,0.0001537317,0.001109128,0.00001032155,0.001381315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575113,"threshold_uncertainty_score":0.005269289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074639072626428,"score_gpt":0.315510198894293,"score_spread":0.2947638081680288,"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."}}