{"id":"W4394182332","doi":"10.6084/m9.figshare.14775441","title":"Additional file 7 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; Bioinformatics; Genetics","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":[0.001175637,0.001556908,0.00154412,0.002740602,0.0008823987,0.001950164,0.002208313,0.00163429,0.49562],"category_scores_gemma":[0.007215644,0.0006333494,0.00112476,0.004747986,0.0003579079,0.001412993,0.00147214,0.001362527,0.1087649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009145156,"about_ca_system_score_gemma":0.001794225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008685794,"about_ca_topic_score_gemma":0.01720712,"domain_scores_codex":[0.9994097,0.00007824625,0.00007537998,0.0002217027,0.0001026366,0.0001124303],"domain_scores_gemma":[0.9965043,0.002036258,0.0003192738,0.0003560429,0.0005156712,0.0002684717],"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":[0.0003297522,0.000087808,0.004003275,0.004477614,0.0001355473,0.00007845368,0.00007451528,0.0006464437,0.0007364915,0.0007572086,0.9836451,0.005027926],"study_design_scores_gemma":[0.002590635,0.0001718868,0.02968797,0.001910556,0.0002653091,0.0003026393,0.0002482532,0.001158876,0.001374467,0.004358523,0.9578246,0.0001062542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007308877,0.00001502697,0.00004436162,0.00001550038,0.000005456809,0.000007645818,0.9995884,0.0001021779,0.00014839],"genre_scores_gemma":[0.0008983885,0.00004094712,0.0005274772,0.00006954401,0.00000859336,0.0001156555,0.9976487,0.000125334,0.0005655207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.49562,"threshold_uncertainty_score":0.7194369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577965940955048,"score_gpt":0.2449278210558725,"score_spread":0.2291481616463221,"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."}}