{"id":"W4394110482","doi":"10.6084/m9.figshare.14775429","title":"Additional file 4 of An integrated gene catalog and over 10,000 metagenome-assembled genomes from the gastrointestinal microbiome of ruminants","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metagenomics; Microbiome; Genome; Biology; Computational biology; Gut microbiome; Gene; World Wide Web; Genetics; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001096093,0.001525967,0.001537124,0.002722601,0.0008368411,0.002015795,0.002202523,0.001634323,0.4771991],"category_scores_gemma":[0.007731173,0.0006323243,0.001248301,0.00466063,0.0003533938,0.001328187,0.00148273,0.001352979,0.1029313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009134772,"about_ca_system_score_gemma":0.00176497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009234801,"about_ca_topic_score_gemma":0.01716955,"domain_scores_codex":[0.9994134,0.00008166967,0.00007666333,0.0002317312,0.00009188377,0.0001047909],"domain_scores_gemma":[0.9962596,0.002294425,0.0003208214,0.0003774303,0.000500826,0.0002470421],"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":[0.0003176391,0.00007344261,0.004239834,0.004622892,0.0001566186,0.00008358694,0.00007231061,0.0007761636,0.0006330521,0.0008988089,0.9832668,0.004858783],"study_design_scores_gemma":[0.002078421,0.0001254221,0.0238671,0.001773677,0.0002875064,0.0003125021,0.0002108368,0.001063774,0.001120316,0.004627731,0.9644404,0.00009227984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006413301,0.00001575974,0.00004486622,0.00001411824,0.000004565478,0.0000060283,0.9996294,0.00008671017,0.0001343471],"genre_scores_gemma":[0.0009459174,0.00004485007,0.0004962072,0.00006726966,0.000007805325,0.0001046536,0.9976394,0.000120602,0.000573263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4771991,"threshold_uncertainty_score":0.745712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158700366422942,"score_gpt":0.2451077368838835,"score_spread":0.2292377002415893,"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."}}