{"id":"W1979291511","doi":"10.1155/2015/490158","title":"A DNA Barcode-Based Evaluation of the Southeast Asian Catfish Genus <i>Hemibagrus</i> Bleeker, 1862 (Teleostei: Siluriformes; Bagridae)","year":2015,"lang":"en","type":"article","venue":"Advances in Evolutionary Biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National University of Singapore","keywords":"Biology; Phylogeography; Monophyly; Zoology; DNA barcoding; Phylogenetic tree; Cytochrome b; Genus; Teleostei; Catfish; Taxonomy (biology); Taxon; Evolutionary biology; Clade; Ecology; Fishery; Fish <Actinopterygii>; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007841809,0.0001693951,0.0001730482,0.00009356329,0.0001004283,0.000007323201,0.0004266664,0.0002151273,0.00003537958],"category_scores_gemma":[0.0004885228,0.0001405566,0.0001041688,0.0003273493,0.000395857,0.00001981131,0.00008875137,0.0001236712,0.00002877069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008644436,"about_ca_system_score_gemma":0.0005805703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001826391,"about_ca_topic_score_gemma":0.0001372237,"domain_scores_codex":[0.9980722,0.000426661,0.0004955113,0.0004397908,0.0003024082,0.000263411],"domain_scores_gemma":[0.9984002,0.00002900054,0.0002996872,0.0006272203,0.0005705141,0.00007344134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008514148,0.001343262,0.1859492,0.0001364774,0.0001211521,0.000001236811,0.0006334665,0.01746947,0.710583,0.01768698,0.01231864,0.05290566],"study_design_scores_gemma":[0.006096183,0.0006239811,0.09986481,0.00009741508,0.000139321,0.00006172581,0.001565814,0.007942018,0.258107,0.007675681,0.6168935,0.0009325235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427245,0.01904887,0.008981715,0.002674045,0.003057938,0.001672261,0.0003782725,0.00005480465,0.02140764],"genre_scores_gemma":[0.9979536,0.0001043875,0.0007343873,0.0001716368,0.0001495215,0.0001352144,0.0005538684,0.00001561255,0.0001817569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6045749,"threshold_uncertainty_score":0.5731732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094916592274979,"score_gpt":0.3041726694248282,"score_spread":0.2832235035020784,"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."}}