{"id":"W6977092369","doi":"10.6084/m9.figshare.27289248.v1","title":"Additional file 1 of Seasonal stability of the rumen microbiome contributes to the adaptation patterns to extreme environmental conditions in grazing yak and cattle","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Rumen; Grazing; YAK; Table (database); Composition (language); 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":[0.001137274,0.001317329,0.001358881,0.001614673,0.0009657937,0.001917464,0.001699189,0.00172174,0.4438381],"category_scores_gemma":[0.0106184,0.000527154,0.001402928,0.002968637,0.0002714583,0.001369316,0.001343937,0.0009812252,0.07049489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018778,"about_ca_system_score_gemma":0.001664699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01547,"about_ca_topic_score_gemma":0.03085862,"domain_scores_codex":[0.9993988,0.00009836605,0.0001033995,0.0002135748,0.00007044461,0.000115377],"domain_scores_gemma":[0.9967172,0.001966403,0.0003326086,0.000339058,0.0004691424,0.0001757315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006100981,0.00009400384,0.01530227,0.006967712,0.0002138327,0.0001130924,0.000142345,0.0007078919,0.0003778785,0.0005693669,0.9673153,0.007586261],"study_design_scores_gemma":[0.003637169,0.0002456752,0.1184791,0.004898204,0.0005616707,0.0005418347,0.000742716,0.002100797,0.0008742246,0.003726693,0.864017,0.0001749011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001547704,0.00001983651,0.00003147952,0.00002657301,0.000006451123,0.000009816311,0.9996076,0.00003989545,0.0001035951],"genre_scores_gemma":[0.002870457,0.00007275768,0.0008104307,0.0001195221,0.00001785905,0.0003561552,0.9944125,0.00009642899,0.001243811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4438381,"threshold_uncertainty_score":0.7932974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590556642158637,"score_gpt":0.2326921686034802,"score_spread":0.2067866021818938,"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."}}