{"id":"W2922638464","doi":"10.1101/237974","title":"AYbRAH: a curated ortholog database for yeasts and fungi spanning 600 million years of evolution","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Phylogenetics; Phylogenetic tree; KEGG; Database; Computational biology; Gene; Genetics; Evolutionary biology; Transcriptome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002603461,0.002318643,0.002806002,0.01585098,0.001996248,0.002933307,0.002821217,0.001915887,0.01717594],"category_scores_gemma":[0.006691003,0.001202674,0.001627444,0.0121449,0.000534961,0.002831905,0.004751308,0.00149031,0.01792804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007787299,"about_ca_system_score_gemma":0.002825413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003047555,"about_ca_topic_score_gemma":0.004943612,"domain_scores_codex":[0.9984089,0.0001956167,0.0003813994,0.0004725921,0.000380638,0.0001608688],"domain_scores_gemma":[0.9972465,0.0006235812,0.0005460065,0.0006278314,0.0005677125,0.0003884533],"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":[0.005570063,0.000405895,0.0278182,0.0500005,0.001773034,0.004419925,0.003217047,0.003208199,0.1135106,0.01040466,0.5901231,0.189549],"study_design_scores_gemma":[0.0003584507,0.0001983283,0.03372987,0.002121115,0.0007304887,0.002037583,0.0005367119,0.002891068,0.01159812,0.003479014,0.942042,0.0002771303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02497737,0.01060109,0.01659603,0.0002232155,0.0002660156,0.0003028033,0.889879,0.05034587,0.006808612],"genre_scores_gemma":[0.01761657,0.00192316,0.030774,0.000156252,0.00003985967,0.0002822209,0.9442568,0.004013426,0.0009377205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01717594,"threshold_uncertainty_score":0.05745924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194058560669427,"score_gpt":0.2695543332998884,"score_spread":0.2476137476931942,"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."}}