{"id":"W2550597737","doi":"10.3168/jds.2016-11384","title":"Comparison of commercial DNA extraction kits and quantitative PCR systems for better sensitivity in detecting the causative agent of paratuberculosis in dairy cow fecal samples","year":2016,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Paratuberculosis; Feces; DNA extraction; Extraction (chemistry); Biology; Dairy cattle; Real-time polymerase chain reaction; Food science; Veterinary medicine; Polymerase chain reaction; Microbiology; Chromatography; Chemistry; Animal science; Medicine; Bacteria; Genetics; Mycobacterium","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0107785,0.001702572,0.001181363,0.002035769,0.0004037268,0.001652954,0.001800995,0.002120262,0.001269881],"category_scores_gemma":[0.011472,0.00164909,0.000977742,0.001532111,0.0009990057,0.001067385,0.0009502872,0.001087123,0.0008194514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007388329,"about_ca_system_score_gemma":0.0006078853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008499759,"about_ca_topic_score_gemma":0.001571431,"domain_scores_codex":[0.9779302,0.008791249,0.002436442,0.003613352,0.006405964,0.0008227378],"domain_scores_gemma":[0.987618,0.006949787,0.001508255,0.000824957,0.002880289,0.0002186444],"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":[0.001551474,0.0005557542,0.01146255,0.001465034,0.0002897347,0.00006990169,0.0004272057,0.001425187,0.9485918,0.0003140497,0.000298674,0.03354868],"study_design_scores_gemma":[0.0001344521,0.004324982,0.02414689,0.000226471,0.0006034557,0.0006749264,0.0002732812,0.01027808,0.9542433,0.000261471,0.004688959,0.0001437011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8630702,0.01364056,0.1173368,0.0005655865,0.0005019695,0.000749986,0.00122353,0.0007571408,0.002154238],"genre_scores_gemma":[0.7690052,0.004329141,0.2187734,0.0006923218,0.0002027568,0.001203746,0.003100196,0.0001869903,0.00250624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0107785,"threshold_uncertainty_score":0.05700284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128838827458473,"score_gpt":0.4073189864370678,"score_spread":0.2944351036912204,"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."}}