{"id":"W2144838524","doi":"10.1186/1471-2180-11-60","title":"High throughput MLVA-16 typing for Brucella based on the microfluidics technology","year":2011,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Brucella: diagnosis, epidemiology, treatment","field":"Veterinary","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Defence Agency","keywords":"Multiple Loci VNTR Analysis; Brucella; Typing; Biology; Genotyping; Subtyping; Variable number tandem repeat; Biovar; Computational biology; Brucellosis; Genetics; Virology; Computer science; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001303856,0.0007230517,0.0007200786,0.00111635,0.0003115884,0.0008709835,0.0009270219,0.0007785626,0.001102171],"category_scores_gemma":[0.001594717,0.0004499613,0.0006284272,0.0005000851,0.0003364322,0.0006764712,0.0008239293,0.0005964772,0.0007925281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000425651,"about_ca_system_score_gemma":0.0004844816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00041468,"about_ca_topic_score_gemma":0.0006745643,"domain_scores_codex":[0.9980409,0.0002487834,0.0001769521,0.0004376036,0.0009744624,0.0001215061],"domain_scores_gemma":[0.998801,0.0004558059,0.0002303704,0.0001796619,0.0002669633,0.00006618993],"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":[0.0001315776,0.0001004065,0.005391012,0.0003199113,0.00005883236,0.0001232323,0.0001291857,0.001038632,0.9525523,0.0004166632,0.0009323289,0.03880588],"study_design_scores_gemma":[0.00002241016,0.0006660055,0.01318288,0.00006751971,0.0001406774,0.0008848681,0.0000493296,0.01971491,0.9507561,0.0003466337,0.01404541,0.0001231689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4788199,0.006106155,0.4983737,0.0006927139,0.0007723512,0.0009092501,0.003065507,0.006533771,0.004726618],"genre_scores_gemma":[0.6085829,0.002269015,0.3795827,0.0004793389,0.0002155248,0.0008531443,0.002838571,0.0001527214,0.005026107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001303856,"threshold_uncertainty_score":0.006895483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387927015941492,"score_gpt":0.3170341907895718,"score_spread":0.1782414891954227,"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."}}