{"id":"W3072271736","doi":"10.1093/gigascience/giaa080","title":"Initial data release and announcement of the 10,000 Fish Genomes Project (Fish10K)","year":2020,"lang":"en","type":"article","venue":"GigaScience","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vertebrate; Fish <Actinopterygii>; Workflow; Genome; Genomics; Biology; Evolutionary biology; Procurement; Data science; Computer science; Computational biology; Fishery; Business; Database; Genetics","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":[0.000122596,0.00007584376,0.00008018813,0.000007399464,0.00009695214,0.00001761729,0.0005351519,0.00002634392,0.000007310616],"category_scores_gemma":[0.0001277972,0.00005437844,0.0000192549,0.0001272191,0.0002554173,0.000001528122,0.0009056659,0.00003202053,7.561774e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002339547,"about_ca_system_score_gemma":0.0001139806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000242994,"about_ca_topic_score_gemma":0.00002059242,"domain_scores_codex":[0.9992821,0.00002453516,0.0001182143,0.000324146,0.0001185267,0.0001324521],"domain_scores_gemma":[0.9994402,0.000006509316,0.00005870845,0.0004005227,0.00005270255,0.00004134541],"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":[0.00007134089,0.00004531984,0.01278919,0.00004883449,0.00004642158,0.000001906278,0.0008984678,0.00004620073,0.9541286,0.0000635579,0.02063803,0.01122209],"study_design_scores_gemma":[0.00100284,0.0009276273,0.07530652,0.00002344302,0.00006627959,0.00001739891,0.0009657512,0.00121062,0.2147507,0.00009400519,0.7051635,0.0004712599],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959158,0.001099113,0.00005430318,0.001181938,0.00008046904,0.0001792674,0.0003430332,0.000001663779,0.001144357],"genre_scores_gemma":[0.9979419,0.0004399111,0.0003248967,0.001073188,0.00009999023,0.000005422246,0.00002136463,0.000004323455,0.00008904521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7393779,"threshold_uncertainty_score":0.2217489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05409706105645772,"score_gpt":0.279385028098642,"score_spread":0.2252879670421843,"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."}}