{"id":"W1974597429","doi":"10.1016/j.jbiotec.2008.07.1231","title":"So many fish – so few genomes","year":2008,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Fish <Actinopterygii>; Biology; Genome; Fishery; Computational biology; Evolutionary biology; Zoology; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.001137013,0.0004991671,0.0007019024,0.000849075,0.0009341678,0.001287339,0.000514227,0.001237307,0.007784115],"category_scores_gemma":[0.003003435,0.0005511327,0.0003219444,0.000813157,0.001815773,0.00388747,0.001434049,0.001395134,0.00289731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008134677,"about_ca_system_score_gemma":0.0008267117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008628881,"about_ca_topic_score_gemma":0.001476391,"domain_scores_codex":[0.9991684,0.0001581061,0.00006798546,0.0002370203,0.0003077834,0.00006065685],"domain_scores_gemma":[0.9980437,0.0005730629,0.0002038017,0.0004417484,0.0004979664,0.0002397707],"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":[0.0008456114,0.0001505205,0.04270715,0.001296387,0.0005242561,0.002069776,0.001013852,0.002032725,0.5645672,0.07396869,0.02339316,0.2874307],"study_design_scores_gemma":[0.000137202,0.0004902618,0.04063304,0.0003962056,0.0004462905,0.01222463,0.001862661,0.0026304,0.09828912,0.1591671,0.6834709,0.0002522744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6104205,0.04904329,0.1571331,0.07165375,0.00429698,0.0002186902,0.005738259,0.002860788,0.09863456],"genre_scores_gemma":[0.8040106,0.02398469,0.08700889,0.01543657,0.001251703,0.0002826591,0.00407827,0.0007998252,0.06314679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007784115,"threshold_uncertainty_score":0.02604049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160168719171126,"score_gpt":0.2448859362327513,"score_spread":0.23328424904104,"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."}}