{"id":"W2112419249","doi":"10.1111/j.1750-3841.2010.01752.x","title":"A Multiplex PCR Method for the Identification of Commercially Important Salmon and Trout Species ( <i>Oncorhynchus</i> and <i>Salmo</i> ) in North America","year":2010,"lang":"en","type":"article","venue":"Journal of Food Science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Food and Drug Administration; Ontario Centre of Innovation","keywords":"Salmo; Oncorhynchus; Fishery; Trout; Multiplex polymerase chain reaction; Rainbow trout; Biology; Identification (biology); Fish <Actinopterygii>; Zoology; Multiplex; Ecology; Polymerase chain reaction; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567661,0.00007583118,0.0001377103,0.0001076995,0.0001403468,0.00007041459,0.0003262031,0.0000408448,0.00000156156],"category_scores_gemma":[0.0006555193,0.00005518231,0.00005045965,0.0002777601,0.0005072908,0.00002479309,0.00004701792,0.0001262521,1.582882e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005530538,"about_ca_system_score_gemma":0.0001463449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000849777,"about_ca_topic_score_gemma":0.0003191653,"domain_scores_codex":[0.9988338,0.00003530929,0.0006151726,0.0001846267,0.0002111456,0.0001199092],"domain_scores_gemma":[0.998497,0.00009072958,0.0007267851,0.0002399389,0.0003854769,0.00006008975],"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":[0.00004965584,0.00004382498,0.007363744,0.00001000814,0.000009547915,1.282798e-7,0.0002772911,0.00001485348,0.9874763,0.0003496804,0.0001123205,0.004292621],"study_design_scores_gemma":[0.0005843887,0.0003647473,0.2414548,0.000007926042,0.00002825319,0.00005400907,0.0005762998,0.001250294,0.7430299,0.00009635719,0.01244659,0.0001064392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841853,0.0003752561,0.01405245,0.000882679,0.0002431843,0.0001979883,0.00002719697,0.000001523019,0.00003439823],"genre_scores_gemma":[0.9942743,0.0003068573,0.005173328,0.0001140469,0.00007217332,0.000007559017,0.000003950692,0.000005298595,0.00004252983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2444464,"threshold_uncertainty_score":0.2250269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096919944369104,"score_gpt":0.2982441073113444,"score_spread":0.2772749078676534,"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."}}