{"id":"W4225832891","doi":"10.20944/preprints202109.0485.v2","title":"The Case for Standardising Gene Nomenclature Across Vertebrates","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute of Food and Agriculture; National Institutes of Health; Wellcome Trust; U.S. Department of Agriculture","keywords":"Nomenclature; Gene nomenclature; Gene; Identification (biology); Computational biology; Biology; Genetics; Taxonomy (biology); Zoology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2754081,0.001426214,0.002236666,0.009097512,0.006595593,0.02157488,0.006866219,0.01190186,0.005031351],"category_scores_gemma":[0.3560243,0.001331781,0.002103682,0.01163306,0.02976463,0.04302076,0.01067262,0.02944636,0.005685915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007575273,"about_ca_system_score_gemma":0.02400274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152642,"about_ca_topic_score_gemma":0.004118813,"domain_scores_codex":[0.8235751,0.08546641,0.02845468,0.01912923,0.03928557,0.004088954],"domain_scores_gemma":[0.4504203,0.1814034,0.04298876,0.192347,0.1166676,0.01617283],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002379029,0.0001549184,0.005153536,0.002879936,0.0002048305,0.0007468443,0.02473063,0.0007249652,0.007671221,0.4870542,0.2176974,0.2527437],"study_design_scores_gemma":[0.00003849377,0.00009477384,0.003031953,0.003079541,0.00006529732,0.0004106922,0.003203001,0.0003310187,0.001457529,0.1655513,0.8225909,0.0001453993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.009990163,0.03391979,0.1711949,0.6604371,0.0800328,0.0006052727,0.0008627957,0.00224832,0.04070887],"genre_scores_gemma":[0.09494063,0.02640315,0.579433,0.2379922,0.03675599,0.002191945,0.002072995,0.003973632,0.01623652],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7245919,"threshold_uncertainty_score":0.8935508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07519139290368125,"score_gpt":0.3271820884361958,"score_spread":0.2519906955325146,"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."}}