{"id":"W3112935832","doi":"10.3390/pathogens9121029","title":"Advancements in Characterizing Tenacibaculum Infections in Canada","year":2020,"lang":"en","type":"review","venue":"Pathogens","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Vancouver Island University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Multilocus sequence typing; Aquaculture; Zoology; Genus; Identification (biology); Evolutionary biology; Ecology; Disease; Fishery; Gene; Genetics; Fish <Actinopterygii>; Pathology; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008325173,0.000388259,0.001140046,0.0002138614,0.00005780659,0.00001102217,0.0002572855,0.0002060748,0.0003213303],"category_scores_gemma":[0.00004473213,0.0003411448,0.0001888327,0.0004983259,0.00002575978,0.00005383871,0.0001783438,0.0005531475,0.0004461525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007629098,"about_ca_system_score_gemma":0.0008665249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09460751,"about_ca_topic_score_gemma":0.5962501,"domain_scores_codex":[0.9982252,0.0002121595,0.0005763553,0.0004931584,0.00002865528,0.0004645344],"domain_scores_gemma":[0.999465,0.00004140284,0.0002104037,0.0002366924,0.0000144256,0.00003204154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008288827,0.0001573612,0.001224011,0.003424047,0.0002906517,0.0004088845,0.0001209419,5.847881e-7,0.0009330186,0.00006916263,0.003203714,0.9901593],"study_design_scores_gemma":[0.0003525265,0.00001266918,0.0001665443,0.002074731,0.0001959822,0.00002498356,0.00008624515,1.757071e-7,0.00000579115,0.0000015098,0.996744,0.0003347967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001478574,0.9967395,0.000003611967,0.00004439968,0.0007213539,0.0007705588,0.0005610818,0.00002640734,0.0009852391],"genre_scores_gemma":[0.0003897612,0.9962288,0.000008158538,0.0001655983,0.0000328403,0.0001683017,0.002288898,0.00003589428,0.0006817304],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9935403,"threshold_uncertainty_score":0.999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917604920989595,"score_gpt":0.257512681852986,"score_spread":0.2383366326430901,"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."}}