{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001144979,0.0001167051,0.0002199799,0.00009024957,0.0001400312,0.00001612045,0.0003160911,0.0003750804,0.00009841922],"category_scores_gemma":[0.0000660413,0.00009652246,0.000163966,0.00007422931,0.0004846708,0.000004643071,0.0000958931,0.000215345,0.00001573998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008991796,"about_ca_system_score_gemma":0.0001199558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002395753,"about_ca_topic_score_gemma":0.00000708424,"domain_scores_codex":[0.9990945,0.00002594568,0.0004103243,0.0001453129,0.0001303642,0.0001934948],"domain_scores_gemma":[0.9993665,0.0000118969,0.0002546269,0.000193791,0.00009810701,0.00007512896],"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":[0.0003597804,0.0006360897,0.008467621,0.00005653508,0.0004106844,0.0006096122,0.0003124398,0.00003145685,0.8511223,0.002000521,0.04114753,0.09484538],"study_design_scores_gemma":[0.0007871533,0.001475784,0.00690965,0.00001214615,0.00002129413,0.002269686,0.0002949807,0.000005440039,0.5129924,0.0004564267,0.4745963,0.0001787539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992703,0.002083083,0.0004373493,0.00391162,0.000229495,0.0000412098,0.000005479478,0.00001243659,0.0005763771],"genre_scores_gemma":[0.9896859,0.006055207,0.0008962216,0.001229829,0.0003424751,0.000001294074,0.000004895666,0.00001101393,0.001773153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4334487,"threshold_uncertainty_score":0.3936072,"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."}}