{"id":"W2913447538","doi":"10.1139/gen-2018-0101","title":"DNA barcoding of fish species reveals low rate of package mislabeling in Qatar","year":2019,"lang":"en","type":"article","venue":"Genome","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Weill Cornell Medicine - Qatar; Qatar National Research Fund; Weill Cornell Medical College; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"DNA barcoding; Biology; Barcode; Species identification; Fish <Actinopterygii>; Identification (biology); Fishery; Fish products; Zoology; Evolutionary biology; Ecology; Business; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175418,0.0002597609,0.0003466713,0.001140849,0.00065689,0.0006658543,0.0003152256,0.0005355778,0.001686374],"category_scores_gemma":[0.001784144,0.0002621823,0.000313461,0.001184057,0.0006395644,0.0003699411,0.0004074876,0.0003760809,0.0008380038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005014273,"about_ca_system_score_gemma":0.0004493981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005457295,"about_ca_topic_score_gemma":0.0111935,"domain_scores_codex":[0.9987592,0.0001632951,0.00009988123,0.0004660941,0.0003800974,0.0001315096],"domain_scores_gemma":[0.9988771,0.000197197,0.0004167566,0.0001079306,0.0003697119,0.00003128667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003546567,0.00005979179,0.1366226,0.0003532423,0.00007039586,0.0007565003,0.002975633,0.0003791022,0.8188891,0.0004623911,0.0006911564,0.03838547],"study_design_scores_gemma":[0.00001951376,0.0008182114,0.7761531,0.0001176435,0.0002098307,0.002527082,0.002247537,0.002379135,0.1950527,0.0006410189,0.01978727,0.00004695898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864491,0.001077368,0.008819181,0.0002551368,0.00004512387,0.00003972408,0.001163081,0.00007805329,0.00207323],"genre_scores_gemma":[0.9836687,0.0004206939,0.01132859,0.0003222014,0.00001291367,0.0000447703,0.0020342,0.0000293622,0.002138471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005457295,"threshold_uncertainty_score":0.01085103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190740569943828,"score_gpt":0.2451131339026256,"score_spread":0.2260390769082428,"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."}}