{"id":"W2106535627","doi":"10.1128/jcm.02484-09","title":"Rapid Identification and Differentiation of <i>Mycobacterium avium</i> Subspecies <i>paratuberculosis</i> Types by Use of Real-Time PCR and High-Resolution Melt Analysis of the MAP1506 Locus","year":2010,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Universidad Complutense de Madrid; Natural Sciences and Engineering Research Council of Canada; College of Veterinary Medicine, University of Minnesota; University of Minnesota; McGill University; AgResearch","keywords":"High Resolution Melt; Amplicon; Mycobacterium avium subspecies paratuberculosis; Paratuberculosis; Biology; Subspecies; Polymerase chain reaction; Mycobacterium; Locus (genetics); Genetics; Gene; Virology; Microbiology; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123096,0.0001179242,0.0009808573,0.0002200006,0.0000313972,0.00001474874,0.0001281248,0.0002698274,0.0001369854],"category_scores_gemma":[0.001475648,0.00007430349,0.0003200488,0.0003081498,0.0005630516,0.0001213065,0.00007802407,0.0003626264,0.00000119591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001124867,"about_ca_system_score_gemma":0.00007648518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060811,"about_ca_topic_score_gemma":0.00005639079,"domain_scores_codex":[0.997575,0.0004069054,0.001554851,0.0001800773,0.0001325397,0.0001506428],"domain_scores_gemma":[0.9961218,0.001244371,0.00155451,0.0002949418,0.0006659771,0.0001183693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006558075,0.0002569864,0.2290335,0.00005785604,0.000653094,4.960929e-7,0.00002960763,8.332716e-7,0.7658266,0.00003304618,0.002740759,0.0007114173],"study_design_scores_gemma":[0.001014251,0.0005219152,0.8329046,0.00005448353,0.001763174,0.00002764746,0.00001035811,0.00004325229,0.1624268,0.00002968601,0.001146699,0.00005712788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977753,0.0004087565,0.00003290068,0.001055022,0.0002960653,0.0001517151,0.0002650746,0.00000276279,0.00001242342],"genre_scores_gemma":[0.9942661,0.005153128,0.0002535865,0.00006578316,0.00009742575,0.000001406366,0.0000857896,0.000007596062,0.00006922006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6038712,"threshold_uncertainty_score":0.3030009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524956025504531,"score_gpt":0.3070883674177169,"score_spread":0.2818388071626716,"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."}}