{"id":"W3178501946","doi":"10.1093/bib/bbab238","title":"Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases","year":2021,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Research Data Management Practices","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Consortium of International Agricultural Research Centers; Agricultural Research Service; Agence Nationale de la Recherche; National Institute of Food and Agriculture; Saskatchewan Pulse Growers; Department of Agriculture, Philippines; University of Connecticut; Western Grains Research Foundation; Ministry of Agriculture - Saskatchewan; Genome Canada; Washington State University; Oak Ridge Institute for Science and Education; National Pork Board; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Interoperability; Data science; Computer science; Data management; World Wide Web; Database; Knowledge management","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0344298,0.001142479,0.001245373,0.009139855,0.002861087,0.01276266,0.008592373,0.003054417,0.02421414],"category_scores_gemma":[0.1017961,0.00128675,0.001564494,0.01096097,0.001885531,0.0207687,0.01282992,0.006310811,0.02410311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003703247,"about_ca_system_score_gemma":0.02099612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945291,"about_ca_topic_score_gemma":0.01901644,"domain_scores_codex":[0.9812511,0.002671811,0.002333965,0.002161775,0.01044804,0.001133249],"domain_scores_gemma":[0.8589458,0.02233725,0.005205602,0.02401078,0.07113995,0.01836059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003746701,0.0001123872,0.001842404,0.0007108085,0.00008554438,0.0002499543,0.0007700522,0.0002591179,0.00241325,0.006497657,0.836875,0.1498091],"study_design_scores_gemma":[0.00002494071,0.00003610484,0.0008910015,0.0001632928,0.00003492922,0.0001803747,0.0001201084,0.000311371,0.0008210608,0.001130433,0.996249,0.00003739255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02528688,0.01885999,0.2475582,0.1422876,0.02886044,0.002941512,0.2114797,0.1940275,0.1286982],"genre_scores_gemma":[0.03294819,0.01040459,0.2864432,0.02439771,0.005207981,0.002063536,0.4896637,0.03058683,0.1182842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914076,"threshold_uncertainty_score":0.1820844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0705786508652275,"score_gpt":0.354216178600592,"score_spread":0.2836375277353645,"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."}}