{"id":"W6939757691","doi":"10.6084/m9.figshare.17983012.v1","title":"Additional file 1 of Regional heterogeneity and unexpectedly high abundance of Cooperia punctata in beef cattle at a northern latitude revealed by ITS-2 rDNA nemabiome metabarcoding","year":2022,"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":"","funders":"","keywords":"Beef cattle; Herd; Abundance (ecology); Feces; Larva; Ribosomal DNA; Breed; Cattle Diseases","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00135899,0.001150488,0.001211756,0.002461152,0.001021721,0.001976517,0.00222644,0.001460526,0.3616032],"category_scores_gemma":[0.008550084,0.0004882086,0.0008785855,0.004619825,0.0003595432,0.001268251,0.001404547,0.0009249477,0.05773366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265154,"about_ca_system_score_gemma":0.002547579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03800438,"about_ca_topic_score_gemma":0.07993028,"domain_scores_codex":[0.999396,0.00007290526,0.00008041306,0.0002301821,0.0001062393,0.0001142297],"domain_scores_gemma":[0.9956506,0.002468437,0.0004711281,0.0003544842,0.0008227075,0.0002327],"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":[0.000163243,0.00004599866,0.008575576,0.003678321,0.0001150337,0.00007509552,0.0001106055,0.0005368995,0.0002755749,0.0005722822,0.9816419,0.004209592],"study_design_scores_gemma":[0.002174712,0.0001176843,0.08012355,0.003344192,0.000339187,0.0002874297,0.0005665444,0.001352677,0.0007589373,0.002769897,0.9080567,0.0001084594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000804585,0.000008464459,0.00002084865,0.00001439944,0.000002764718,0.000004660808,0.999769,0.00002536036,0.00007399874],"genre_scores_gemma":[0.001598184,0.00004065113,0.0005782525,0.00006409156,0.000006825827,0.0001655589,0.9968249,0.00006315245,0.0006584959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3616032,"threshold_uncertainty_score":0.9105955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426049876267959,"score_gpt":0.2219873687129055,"score_spread":0.1977268699502259,"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."}}