{"id":"W1986692632","doi":"10.3897/zookeys.381.6445","title":"A cornucopia of cryptic species - a DNA barcode analysis of the gobiid fish genus Trimma (Percomorpha, Gobiiformes)","year":2014,"lang":"en","type":"article","venue":"ZooKeys","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Royal Ontario Museum","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Muséum National d'Histoire Naturelle; Commonwealth Scientific and Industrial Research Organisation; Lembaga Ilmu Pengetahuan Indonesia; Genome Canada; Ontario Genomics; University of Guelph; Centre National de la Recherche Scientifique; Ontario Genomics Institute","keywords":"Biology; DNA barcoding; Lineage (genetic); Species complex; Genetic divergence; Evolutionary biology; Zoology; Genus; Morphology (biology); Phylogenetic tree; Genetic diversity; Gene; Genetics; Population","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":[0.0002144547,0.0001069894,0.0002253413,0.0001019703,0.00007162162,0.00001638112,0.0003636932,0.00009170996,0.000395162],"category_scores_gemma":[0.0001901353,0.00008469835,0.0002756259,0.000416533,0.0001997776,0.000003792565,0.00007103218,0.00005169727,0.00002910194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009107294,"about_ca_system_score_gemma":0.00004684477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003470256,"about_ca_topic_score_gemma":0.00006312276,"domain_scores_codex":[0.9989785,0.00009608626,0.0003867323,0.0002292952,0.0001779979,0.0001313653],"domain_scores_gemma":[0.998769,0.00002721821,0.0002630936,0.0007127924,0.0001891719,0.00003867847],"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":[0.00005128827,0.0001495395,0.01758895,0.00005684531,0.0005556445,1.040727e-7,0.0001695254,0.0001884344,0.9678643,0.005419586,0.007597515,0.0003582038],"study_design_scores_gemma":[0.0003799506,0.0000904033,0.2191393,0.00001221853,0.0004114259,9.433098e-7,0.0001109756,0.001116358,0.7242476,0.00003851203,0.05431245,0.0001398114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895509,0.00006356465,0.002548625,0.0002433145,0.0001655612,0.0001434208,0.00005552345,0.000007470325,0.007221642],"genre_scores_gemma":[0.9927851,0.00004817624,0.0001370414,0.0002018384,0.00004807615,0.00001198521,0.0001320091,0.00001063355,0.006625117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2436167,"threshold_uncertainty_score":0.4326747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356905261802182,"score_gpt":0.2314013758681323,"score_spread":0.2178323232501105,"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."}}