{"id":"W3134721464","doi":"10.1111/jfd.13357","title":"Quantitative PCR for <i>Tenacibaculum dicentrarchi and T. finnmarkense</i>","year":2021,"lang":"en","type":"article","venue":"Journal of Fish Diseases","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":9,"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; TaqMan; Real-time polymerase chain reaction; 16S ribosomal RNA; Microbiology; Bacteria; Molecular biology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001398487,0.001296475,0.0007622543,0.001254637,0.0004118875,0.0008070962,0.0008991191,0.0009880117,0.002482791],"category_scores_gemma":[0.001076387,0.0004967535,0.0006455019,0.001160462,0.0005617815,0.0003945596,0.0004248844,0.0008363776,0.0009646506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005924439,"about_ca_system_score_gemma":0.000489823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723731,"about_ca_topic_score_gemma":0.003572705,"domain_scores_codex":[0.9981577,0.0003001184,0.0001780763,0.0005991979,0.0005351893,0.0002296337],"domain_scores_gemma":[0.9988176,0.0003053651,0.0003042704,0.0001003835,0.0004019105,0.00007057957],"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":[0.000100588,0.00005251806,0.001553345,0.0001379382,0.000009397561,0.00002385886,0.00007251433,0.00007016483,0.9943736,0.00009210037,0.0000898111,0.003424071],"study_design_scores_gemma":[0.00004312916,0.001020674,0.02616616,0.00009506482,0.0001267299,0.0002877262,0.000313438,0.004919975,0.954766,0.0002995474,0.01190964,0.00005203779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7962005,0.003504259,0.1701314,0.0004775662,0.0004359402,0.002135716,0.01322059,0.001853762,0.01204015],"genre_scores_gemma":[0.5921372,0.00384594,0.3474684,0.0008242581,0.0001741794,0.004862762,0.02174447,0.0003252219,0.02861757],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002482791,"threshold_uncertainty_score":0.008305788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218189682412878,"score_gpt":0.2487527656834558,"score_spread":0.236570868859327,"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."}}