{"id":"W3001486838","doi":"10.1002/mbo3.995","title":"Rapid high resolution melting assay to differentiate <i>Streptococcus suis</i> serotypes 2, 1/2, 1, and 14","year":2020,"lang":"en","type":"article","venue":"MicrobiologyOpen","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"High Resolution Melt; Streptococcus suis; Serotype; Microbiology; High resolution; Biology; Polymorphism (computer science); Virology; Gene; Polymerase chain reaction; Genotype; Genetics; Geography","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":[0.001976382,0.001586378,0.0009515641,0.002722422,0.0005625241,0.0007664023,0.0009604686,0.001518991,0.004899186],"category_scores_gemma":[0.00299792,0.0009464172,0.001129221,0.001014919,0.0005909117,0.0005675493,0.0007019028,0.001827011,0.004120629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005593296,"about_ca_system_score_gemma":0.0006482163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007946985,"about_ca_topic_score_gemma":0.001809378,"domain_scores_codex":[0.9968044,0.001116315,0.0001988983,0.000622153,0.0009666376,0.0002916145],"domain_scores_gemma":[0.9982065,0.0005184665,0.000389723,0.0002303049,0.00052108,0.0001338889],"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":[0.0003615948,0.0001654204,0.006677047,0.0002357167,0.00008476305,0.0001314096,0.0001572774,0.0005065711,0.9658373,0.0004775945,0.001742559,0.02362269],"study_design_scores_gemma":[0.00005214378,0.001024079,0.01938165,0.0001222067,0.0001390371,0.002057767,0.0001350331,0.008160479,0.9510885,0.0004541462,0.01729494,0.0000900614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4323662,0.01036688,0.5089473,0.001295834,0.0007951311,0.001732682,0.006798183,0.007484626,0.03021323],"genre_scores_gemma":[0.493009,0.002821872,0.4720368,0.001295962,0.0001797617,0.001245848,0.00704869,0.000667588,0.02169452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004899186,"threshold_uncertainty_score":0.01638937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692988443111143,"score_gpt":0.2624049274099816,"score_spread":0.2354750429788701,"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."}}