{"id":"W1987828296","doi":"10.1128/jcm.00386-14","title":"Genetic Structure of Mycobacterium avium subsp. paratuberculosis Population in Cattle Herds in Quebec as Revealed by Using a Combination of Multilocus Genomic Analyses","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université de Montréal; Canadian Food Inspection Agency","funders":"Ministère de l'Agriculture et de l'Alimentation; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Paratuberculosis; Biology; Genetic diversity; Genotype; Multilocus sequence typing; Population; Molecular epidemiology; Typing; Genetic variation; Mycobacterium; Variable number tandem repeat; Genetic variability; Microbiology; Genetics; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005293682,0.0002424572,0.0003052636,0.001517562,0.001196164,0.0008860125,0.0007114673,0.0004169146,0.001466223],"category_scores_gemma":[0.000937508,0.0001772232,0.0001852538,0.001574598,0.0007876652,0.000214704,0.0002684777,0.0002442188,0.000135237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008888016,"about_ca_system_score_gemma":0.002934295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9605778,"about_ca_topic_score_gemma":0.9696325,"domain_scores_codex":[0.9995741,0.00006050154,0.00001586748,0.000132068,0.00009660266,0.0001207739],"domain_scores_gemma":[0.9992158,0.000113727,0.0001349496,0.00003318732,0.000312649,0.0001896149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615054,0.00003688154,0.9857786,0.00003019246,0.00007537968,0.0001941154,0.001039232,0.0002817809,0.00359939,0.00007764673,0.0003579838,0.008367402],"study_design_scores_gemma":[0.000004654067,0.0000352548,0.998321,0.00001471655,0.00001481216,0.00006939172,0.0004853864,0.0005625589,0.00007553017,0.000006911134,0.0004042016,0.000005638434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985664,0.00033986,0.0001242111,0.00004413945,0.000003021356,0.00001382143,0.0003684012,0.000004939385,0.0005353719],"genre_scores_gemma":[0.9989091,0.000124632,0.0001509631,0.00002488049,0.00000260022,0.000006811002,0.000338526,0.000001640462,0.0004407143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03942215,"threshold_uncertainty_score":0.07930857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487181004351539,"score_gpt":0.4084650134463589,"score_spread":0.3635932034028436,"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."}}