{"id":"W2742786000","doi":"10.1101/172858","title":"MentaLiST – A fast MLST caller for large MLST schemes","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Simon Fraser University","funders":"","keywords":"Multilocus sequence typing; Housekeeping gene; Genotyping; Typing; Computer science; Biology; Computational biology; Genetics; Gene; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004016169,0.002159714,0.001645265,0.001783335,0.001499186,0.002834486,0.005124296,0.002822751,0.03181323],"category_scores_gemma":[0.01700244,0.001925193,0.002337474,0.0008958205,0.0008983741,0.002385988,0.003584839,0.003612255,0.0175594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382718,"about_ca_system_score_gemma":0.00218439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002659604,"about_ca_topic_score_gemma":0.004854355,"domain_scores_codex":[0.9972179,0.000567608,0.0002688718,0.000732781,0.0009514996,0.0002613464],"domain_scores_gemma":[0.9950699,0.002859257,0.0003270917,0.0008738239,0.0006242587,0.0002457448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003787046,0.0005408113,0.009255974,0.002010035,0.0009813219,0.001168845,0.001323763,0.05054009,0.1092228,0.02470943,0.2766965,0.5197634],"study_design_scores_gemma":[0.0006598205,0.0001883143,0.002307051,0.0001549487,0.0001172882,0.0005308667,0.0001319063,0.8050712,0.07070835,0.02017325,0.09951021,0.0004468394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009612583,0.0002126144,0.6437399,0.0002499357,0.00026484,0.0002924991,0.003738859,0.3393312,0.00255755],"genre_scores_gemma":[0.08289281,0.0002034566,0.8396637,0.000649515,0.0001231263,0.001238864,0.01322321,0.05360938,0.008395842],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03181323,"threshold_uncertainty_score":0.1064259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607216877287984,"score_gpt":0.2454890424562749,"score_spread":0.2294168736833951,"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."}}