{"id":"W2035133508","doi":"10.1016/j.mimet.2006.10.019","title":"Improved template DNA preparation procedure for detection of Mycobacterium avium subsp. paratuberculosis in milk by PCR","year":2007,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Bijzonder Onderzoeksfonds UGent; Health Canada; Dairy Farmers of Ontario","keywords":"Pellet; Paratuberculosis; Raw milk; Chromatography; Detection limit; Centrifugation; Food science; Fraction (chemistry); Pellets; Chemistry; Mycobacterium; Extraction (chemistry); DNA extraction; Mycobacterium avium subsp. paratuberculosis; Polymerase chain reaction; Microbiology; Biology; Bacteria; Biochemistry; Gene","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":[0.001423857,0.001426739,0.001591907,0.001328098,0.0004388778,0.0006090718,0.001529859,0.001160009,0.002492478],"category_scores_gemma":[0.002873611,0.001220347,0.001230165,0.0007802433,0.0005304266,0.0006063712,0.000688886,0.00302158,0.003473114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002641646,"about_ca_system_score_gemma":0.0007084585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007629509,"about_ca_topic_score_gemma":0.001440259,"domain_scores_codex":[0.9976051,0.0005497887,0.0002991195,0.000645683,0.0006640828,0.0002362066],"domain_scores_gemma":[0.9986694,0.0004845275,0.0001166714,0.0002523689,0.0003910127,0.00008614758],"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":[0.0001187382,0.0001174294,0.0005361497,0.0001847604,0.00002131943,0.0001226169,0.00008597544,0.0001897039,0.9839402,0.0001394145,0.0002804493,0.01426326],"study_design_scores_gemma":[0.00007293038,0.0009352643,0.00502147,0.00007269803,0.0002417308,0.001640005,0.00008274622,0.005071341,0.9754354,0.0003209818,0.01102381,0.00008156877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1777746,0.003754654,0.8093631,0.000610015,0.0007165852,0.001142332,0.00184727,0.00270495,0.002086403],"genre_scores_gemma":[0.1815396,0.003049152,0.7976003,0.0004930191,0.0001869655,0.001314895,0.01017216,0.0004004129,0.005243496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002492478,"threshold_uncertainty_score":0.008338213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095078357181388,"score_gpt":0.3875163004984132,"score_spread":0.3565655169265993,"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."}}