{"id":"W2936938519","doi":"10.1016/j.diagmicrobio.2019.04.002","title":"Laboratory comparison between cell cytotoxicity neutralization assay and ultrasensitive single molecule counting technology for detection of Clostridioides difficile toxins A and B, PCR, enzyme immunoassays, and multistep algorithms","year":2019,"lang":"en","type":"article","venue":"Diagnostic Microbiology and Infectious Disease","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Consortium canadien en neurodégénérescence associée au vieillissement; ARUP Laboratories","keywords":"Clostridioides; Cytotoxicity; Neutralization; Chemistry; Microbiology; Detection limit; Chromatography; Molecular biology; Biology; Virology; Biochemistry; In vitro","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008184833,0.001132335,0.0008351906,0.001918322,0.0007023381,0.002163,0.002081035,0.001019861,0.001578851],"category_scores_gemma":[0.01414376,0.0005412777,0.0005800881,0.001674601,0.001187797,0.0009627389,0.0009229629,0.001260686,0.0007686111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594408,"about_ca_system_score_gemma":0.00157253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664926,"about_ca_topic_score_gemma":0.002096068,"domain_scores_codex":[0.9844728,0.004585293,0.001080462,0.003255605,0.006185127,0.0004206933],"domain_scores_gemma":[0.9809207,0.009285818,0.002258077,0.001763035,0.005080994,0.0006913841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03547565,0.003589824,0.4406024,0.000799426,0.001084847,0.0006668653,0.001755132,0.007719442,0.3413452,0.003835448,0.004493366,0.1586324],"study_design_scores_gemma":[0.001280381,0.02490746,0.279715,0.000221152,0.001005489,0.004490708,0.001097248,0.09587489,0.5803139,0.002961688,0.007830936,0.0003011934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456523,0.00207678,0.1421856,0.0005214676,0.0006350356,0.0005597739,0.002060752,0.001889642,0.004418661],"genre_scores_gemma":[0.9499317,0.0003608332,0.0454529,0.0003612408,0.0001363272,0.0003037028,0.001751798,0.0001202545,0.001581148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008184833,"threshold_uncertainty_score":0.04328609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009196321882499619,"score_gpt":0.2496098082350988,"score_spread":0.2404134863525992,"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."}}