{"id":"W6939803845","doi":"10.6084/m9.figshare.14775423.v1","title":"Additional file 3 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metagenomics; Ruminant; Table (database); Genome; KEGG; Monogastric; Microbiome","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":[0.001210504,0.001581502,0.001541387,0.002690103,0.001016512,0.002097521,0.002322066,0.001831181,0.4214424],"category_scores_gemma":[0.006763863,0.0006823855,0.001140434,0.004647288,0.0003467579,0.001703734,0.001689622,0.001524886,0.1127646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100125,"about_ca_system_score_gemma":0.001941494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008670508,"about_ca_topic_score_gemma":0.01797397,"domain_scores_codex":[0.9993454,0.00008350526,0.00009346572,0.0002514496,0.0001134449,0.0001126981],"domain_scores_gemma":[0.9972733,0.001463442,0.0002765658,0.0003085464,0.0004655776,0.0002127096],"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":[0.0003160652,0.00008327904,0.003890222,0.00562802,0.0001282569,0.00009518534,0.00008593154,0.0006981233,0.0008669141,0.001073933,0.9812934,0.005840637],"study_design_scores_gemma":[0.001290096,0.00009630316,0.01801415,0.001560931,0.0001727521,0.0002377342,0.0001936829,0.00083018,0.001114838,0.003287883,0.9731264,0.0000750638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006063592,0.00001833401,0.00005774279,0.0000149171,0.00000537259,0.000009395341,0.9995727,0.00009137503,0.0001694289],"genre_scores_gemma":[0.0006245032,0.00004241048,0.0006327323,0.00006198392,0.000006194595,0.0001243849,0.9978769,0.0001073027,0.0005236791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4214424,"threshold_uncertainty_score":0.8252421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190287593307434,"score_gpt":0.2105467747468677,"score_spread":0.1915180154161243,"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."}}