{"id":"W4394317586","doi":"10.6084/m9.figshare.17162966","title":"Additional file 3 of Seasonal epidemiology of gastrointestinal nematodes of cattle in the northern continental climate zone of western Canada as revealed by internal transcribed spacer-2 ribosomal DNA nemabiome barcoding","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Calgary","funders":"","keywords":"Internal transcribed spacer; Ribosomal DNA; DNA barcoding; Ribosomal RNA; Biology; Geography; Oceanography; Zoology; Genetics; Geology; Phylogenetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006355484,0.0003143912,0.001276919,0.0001116189,0.00003961767,0.00001150047,0.0007256072,0.0001396456,0.4076092],"category_scores_gemma":[0.001107215,0.000269719,0.0002332667,0.000173772,0.0002782832,0.00008620477,0.0002165159,0.0004146979,0.00003165343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000891383,"about_ca_system_score_gemma":0.001055749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1793633,"about_ca_topic_score_gemma":0.4927588,"domain_scores_codex":[0.9966571,0.0008059089,0.001399459,0.0003982948,0.0003675711,0.0003716564],"domain_scores_gemma":[0.9949198,0.003027392,0.00133098,0.0004065075,0.0002197513,0.00009560704],"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":[0.0008499024,0.000352135,0.007765193,0.0003197343,0.0001321332,0.0001592936,0.00006235098,0.00000339383,0.001416407,0.000001190249,0.9885162,0.0004220688],"study_design_scores_gemma":[0.003241503,0.001632928,0.02966474,0.007352333,0.0002050398,0.003098157,0.001823591,0.00009671191,0.0005887233,0.00000503726,0.951748,0.0005432606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09791979,0.00004172664,0.000007861563,0.0001498593,0.00006327475,0.0003675438,0.9012182,6.429722e-7,0.0002311162],"genre_scores_gemma":[0.05346855,0.000005438284,0.0003949821,0.00006950638,0.00005738137,0.0001055917,0.945683,0.00001777666,0.0001977993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4075776,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007340157567825,"score_gpt":0.319360924998944,"score_spread":0.2792875234232657,"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."}}