{"id":"W4205846574","doi":"10.1073/pnas.2115639118","title":"Standards recommendations for the Earth BioGenome Project","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; Dalhousie University","funders":"U.S. National Library of Medicine; Biotechnology and Biological Sciences Research Council; National Museum of Natural History; European Molecular Biology Laboratory; Smithsonian Institution; Wellcome Trust; Howard Hughes Medical Institute; Villum Fonden; National Institutes of Health; Vetenskapsrådet; National Science Foundation","keywords":"Flexibility (engineering); Informatics; Computer science; Engineering management; Knowledge management; Data science; Political science; Engineering; Management","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":[0.001157384,0.00004587487,0.00005531326,0.00003635832,0.0005706016,0.000009100135,0.0004844689,0.00001756913,0.000006431985],"category_scores_gemma":[0.0001705396,0.00002755785,0.00006539268,0.0002242089,0.0002717653,0.000001689234,0.0002617936,0.00004523752,3.513654e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009614192,"about_ca_system_score_gemma":0.00007591546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003933245,"about_ca_topic_score_gemma":1.464325e-7,"domain_scores_codex":[0.9992685,0.000004893282,0.0001362262,0.0001344701,0.0003725232,0.00008341642],"domain_scores_gemma":[0.9995833,0.00003971925,0.0001637022,0.00000751516,0.0001986713,0.000007068582],"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":[0.00002890683,0.00002564418,0.001277409,0.00001286705,0.00004820658,2.572304e-10,0.0001639393,0.0002124741,0.97235,0.01398667,0.01112345,0.0007704037],"study_design_scores_gemma":[0.000297314,0.000335825,0.01278959,0.00000664455,0.00002516652,0.000006015933,0.001364493,0.0002778696,0.4365068,0.01321509,0.5350646,0.0001105545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97939,0.001549282,0.000009385858,0.01426248,0.00007459173,0.0006407698,0.0009306525,0.000001841249,0.003141006],"genre_scores_gemma":[0.9981186,0.0001328615,0.001045041,0.0003257913,0.00007008639,0.0000806254,6.358356e-7,0.000002671958,0.0002236414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5358432,"threshold_uncertainty_score":0.4388663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05793915419070116,"score_gpt":0.335970130305748,"score_spread":0.2780309761150468,"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."}}