{"id":"W2577333108","doi":"10.1038/sdata.2016.132","title":"Whole genome sequencing data and de novo draft assemblies for 66 teleost species","year":2017,"lang":"en","type":"article","venue":"Scientific Data","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council; Chiba University; Universitetet i Oslo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; McGill University; Norges Forskningsråd; Norwegian Sequencing Centre; Thünen-Institut; Pinngortitaleriffik; Norges Teknisk-Naturvitenskapelige Universitet; National Science Foundation","keywords":"Phylogenetic tree; Biology; Genome; Evolutionary biology; Computational biology; Phylogenetics; Genomics; Whole genome sequencing; Comparative genomics; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010969,0.000948207,0.0006943171,0.002878122,0.001352103,0.001086707,0.0008318,0.0008291747,0.006138761],"category_scores_gemma":[0.003878964,0.0006993188,0.001299972,0.003918777,0.0004188931,0.0008968803,0.0009324312,0.00136171,0.004168716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226511,"about_ca_system_score_gemma":0.00138794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227345,"about_ca_topic_score_gemma":0.006598559,"domain_scores_codex":[0.9991181,0.0001033689,0.0001808522,0.0003048011,0.0002103568,0.00008249648],"domain_scores_gemma":[0.9984512,0.0004326537,0.0003247485,0.0003030984,0.0003536901,0.0001345253],"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":[0.002208936,0.0003780776,0.04899947,0.003435801,0.0006664335,0.001976367,0.003383826,0.009875258,0.7555993,0.003839056,0.01410907,0.1555284],"study_design_scores_gemma":[0.0003062981,0.0008741024,0.4219586,0.000699229,0.001746376,0.00277739,0.001853868,0.02066346,0.1499397,0.006212838,0.3925722,0.0003960665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5208985,0.002062024,0.08867914,0.0002980551,0.0002290065,0.0006514482,0.3761312,0.002760846,0.008289699],"genre_scores_gemma":[0.1437568,0.00154203,0.2388186,0.0001547136,0.00005089884,0.001047312,0.6095526,0.001421373,0.003655709],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006138761,"threshold_uncertainty_score":0.02053624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066931296711404,"score_gpt":0.3204797343100458,"score_spread":0.2137866046389054,"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."}}