{"id":"W2951817054","doi":"10.1093/database/baz022","title":"AYbRAH: a curated ortholog database for yeasts and fungi spanning 600 million years of evolution","year":2019,"lang":"en","type":"article","venue":"Database","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Phylogenetics; Phylogenetic tree; Genome; KEGG; Phylogenomics; Database; Computational biology; Gene; Genetics; Transcriptome; Clade","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":[],"consensus_categories":[],"category_scores_codex":[0.001460635,0.002537903,0.002415097,0.01231552,0.002032866,0.002291825,0.001990112,0.001754856,0.01308233],"category_scores_gemma":[0.003767753,0.001158331,0.001546129,0.01092206,0.0004715383,0.002658255,0.003805188,0.001608857,0.01537222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006727689,"about_ca_system_score_gemma":0.002508187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727997,"about_ca_topic_score_gemma":0.004771424,"domain_scores_codex":[0.9990082,0.0001040184,0.0002395952,0.0003246995,0.0002112425,0.0001121355],"domain_scores_gemma":[0.9987336,0.0002381894,0.0002965899,0.0002825003,0.0002384151,0.0002106853],"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":[0.005867177,0.0004163436,0.03515717,0.03954409,0.001513754,0.005561491,0.003639044,0.002722427,0.1703771,0.01144032,0.525151,0.19861],"study_design_scores_gemma":[0.0002740158,0.0001928851,0.02951835,0.001308752,0.0005780124,0.002398534,0.0004744042,0.001754759,0.01155302,0.002945484,0.9488249,0.0001768504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03011459,0.01084323,0.0186708,0.0001705159,0.0002781214,0.0002396966,0.8921142,0.0397747,0.007794106],"genre_scores_gemma":[0.0181238,0.002507465,0.02795862,0.0001228432,0.00003983619,0.0002382972,0.9467645,0.00304262,0.001202039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01308233,"threshold_uncertainty_score":0.04376471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737349567210891,"score_gpt":0.2865527150731592,"score_spread":0.2691792194010503,"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."}}