{"id":"W2415222449","doi":"10.1038/ncomms11757","title":"The channel catfish genome sequence provides insights into the evolution of scale formation in teleosts","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Science and Technology Directorate; National Institute of Food and Agriculture; Agricultural Research Service; U.S. Department of Homeland Security; Battelle; U.S. Department of Agriculture","keywords":"Catfish; Ictalurus; Biology; Genome; Evolutionary biology; Vertebrate; Ictaluridae; Genetics; Reference genome; Whole genome sequencing; Gene; Computational biology; Fishery; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002227863,0.00009438486,0.00009517713,0.0000728261,0.0005250573,0.0000135936,0.001145035,0.0001936878,0.000005855837],"category_scores_gemma":[0.0001255381,0.00004382866,0.00005179206,0.000270178,0.0005091941,0.0001877444,0.0003315706,0.00033805,0.00005624846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563347,"about_ca_system_score_gemma":0.00004209384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298824,"about_ca_topic_score_gemma":0.006592806,"domain_scores_codex":[0.9992011,0.0002617655,0.0002388228,0.0001146091,0.00003169017,0.0001520307],"domain_scores_gemma":[0.9984139,0.0002481342,0.0001540127,0.00103371,0.00014162,0.000008613562],"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":[0.00004001502,0.000123255,0.000972642,0.00001696482,0.00006734574,2.134823e-7,0.006323208,0.000001955437,0.9355549,0.045031,0.005239045,0.006629471],"study_design_scores_gemma":[0.001449168,0.00008016909,0.08429153,0.0002171685,0.0001079117,0.00001405413,0.006923608,0.00004185811,0.03095798,0.008947195,0.8666072,0.0003621024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7342764,0.2047022,0.0009538269,0.0501412,0.0008342251,0.002610855,0.00009388274,0.0001510608,0.006236395],"genre_scores_gemma":[0.9966069,0.00201871,0.00004569819,0.0001185766,0.0000106886,0.00008322472,0.0001253725,0.000005817169,0.0009849992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9045969,"threshold_uncertainty_score":0.4038369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181831056391118,"score_gpt":0.2499192255878979,"score_spread":0.2381009150239868,"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."}}