{"id":"W3205456489","doi":"10.21203/rs.3.rs-951321/v1","title":"Regional Heterogeneity and an Unexpectedly High Abundance of Cooperia Punctata in Beef Cattle at Northern Latitude Were Revealed by ITS-2 rDNA Nemabiome Metabarcoding","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Beef Cattle Research Council; University of Saskatchewan","keywords":"Beef cattle; Biology; Abundance (ecology); Latitude; High latitude; Ecology; Animal science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000229083,0.0001378681,0.0002537411,0.0009158301,0.0004707272,0.0004734071,0.0001579835,0.000210515,0.0007973576],"category_scores_gemma":[0.0002572874,0.0001683008,0.0002111869,0.0007473785,0.0003577616,0.000164451,0.000319822,0.0001183649,0.0001783761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274902,"about_ca_system_score_gemma":0.0002480094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233777,"about_ca_topic_score_gemma":0.0299571,"domain_scores_codex":[0.9998184,0.00001900736,0.000009853877,0.00008639298,0.00002137989,0.00004496188],"domain_scores_gemma":[0.999787,0.00003106395,0.0000871224,0.00001827758,0.00003597664,0.00004056738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005367916,0.00002537202,0.7328328,0.00008387125,0.0001053396,0.0001556721,0.001305833,0.0001350252,0.2571678,0.00009041424,0.00007979151,0.007481261],"study_design_scores_gemma":[0.000001817098,0.00002166529,0.9976487,0.000004206835,0.0000195942,0.00008725394,0.0003970035,0.00007818767,0.001392531,0.00001758658,0.000329221,0.000002300368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989888,0.0001665963,0.0002329506,0.00000778141,0.000001531685,0.000001687546,0.0002633534,0.000003901788,0.0003333327],"genre_scores_gemma":[0.999025,0.00005705974,0.0003655138,0.000009482397,0.000002265615,0.00000290146,0.0002906126,0.000003104529,0.000244196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233777,"threshold_uncertainty_score":0.0245319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.055365438269122,"score_gpt":0.3285097565018378,"score_spread":0.2731443182327158,"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."}}