{"id":"W4306946797","doi":"10.3389/fvets.2022.1031373","title":"Development and validation of main spectral profile for rapid identification of Yersinia ruckeri isolated from Atlantic salmon using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Atlantic Veterinary College","keywords":"Yersinia ruckeri; Salmo; Biology; Mass spectrometry; Matrix-assisted laser desorption/ionization; Chromatography; Microbiology; Veterinary medicine; Chemistry; Fishery; Desorption; Fish <Actinopterygii>; Medicine","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":[0.001093113,0.0006432769,0.0004452938,0.0006271644,0.0002125114,0.0004701822,0.0003978754,0.0004688292,0.0002347458],"category_scores_gemma":[0.001574728,0.0002400132,0.0004327463,0.0004291796,0.0002372124,0.0003944526,0.0006035118,0.0002997538,0.0002641862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078411,"about_ca_system_score_gemma":0.0003974091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107546,"about_ca_topic_score_gemma":0.001490379,"domain_scores_codex":[0.9989653,0.0001879908,0.0001450301,0.0002275739,0.0004044254,0.00006968196],"domain_scores_gemma":[0.9990584,0.000151324,0.0002483929,0.00008481744,0.0004072942,0.00004971014],"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":[0.00007977909,0.00005090386,0.004984703,0.00005334465,0.00001046515,0.00006060851,0.00005497268,0.0001058073,0.9901343,0.00001073988,0.00001575006,0.004438521],"study_design_scores_gemma":[0.00001377535,0.0009681016,0.04763092,0.00001872588,0.00006095802,0.0006980909,0.0001903414,0.002438111,0.947062,0.00001981189,0.0008799198,0.00001922822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858693,0.0005091289,0.0126716,0.00006035734,0.0000150108,0.0001232689,0.0003755689,0.0000837592,0.0002920396],"genre_scores_gemma":[0.9267499,0.0008517625,0.06920466,0.00008396843,0.00001748703,0.0002062703,0.001966485,0.00003642936,0.0008829402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001093113,"threshold_uncertainty_score":0.005781054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053383685587673,"score_gpt":0.2645518192705048,"score_spread":0.2440179824146281,"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."}}