{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000866567,0.0005218427,0.000738623,0.0002512024,0.0003249435,0.00001192007,0.0008383611,0.0008976283,0.0009819014],"category_scores_gemma":[0.000612521,0.0003707324,0.0003202993,0.0002533752,0.0006978777,0.00003080655,0.0002384044,0.0004015439,0.001077633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825484,"about_ca_system_score_gemma":0.000135483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002566627,"about_ca_topic_score_gemma":0.0001187884,"domain_scores_codex":[0.9966757,0.0006192099,0.0006976905,0.000993347,0.00003479111,0.0009792907],"domain_scores_gemma":[0.9957605,0.002394542,0.0003503527,0.001299742,0.0001218567,0.00007301673],"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":[0.002293827,0.00116859,0.0312922,0.000146664,0.0004254438,0.00005745523,0.0002849512,0.00001709232,0.7178949,0.04901318,0.1950786,0.002327109],"study_design_scores_gemma":[0.006370866,0.008322433,0.005523193,0.0002349348,0.0004376992,0.001000298,0.0005765419,0.0002436489,0.5440121,0.02040031,0.4110887,0.00178929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720089,0.003471316,0.009797283,0.006688503,0.001950265,0.002728274,0.0004603208,0.0006056507,0.002289447],"genre_scores_gemma":[0.9689428,0.000179488,0.02350149,0.005814144,0.0002153466,0.0007438449,0.0002253411,0.0001056346,0.0002719712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.21601,"threshold_uncertainty_score":0.9999313,"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."}}