{"id":"W6964950800","doi":"10.3389/fvets.2022.937141.s001","title":"Data_Sheet_1_Estimating the sensitivity and specificity of serum ELISA and pooled and individual fecal PCR for detecting Mycobacterium avium subspecies paratuberculosis in Canadian cow-calf herds using Bayesian latent class models.PDF","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feces; Herd; Paratuberculosis; Mycobacterium avium subspecies paratuberculosis; Latent class model; Serotype","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":[],"consensus_categories":[],"category_scores_codex":[0.005084927,0.001060146,0.0008989427,0.004484862,0.0009054297,0.001288028,0.003476261,0.0008158734,0.2340121],"category_scores_gemma":[0.03127796,0.001034766,0.001462897,0.00568948,0.0003783373,0.000742099,0.0005908328,0.0007334781,0.04022773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007243413,"about_ca_system_score_gemma":0.008835371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6819307,"about_ca_topic_score_gemma":0.7571629,"domain_scores_codex":[0.9979373,0.0002638078,0.0001508731,0.0002005769,0.001248254,0.0001991949],"domain_scores_gemma":[0.9774742,0.008538944,0.001566913,0.001477045,0.01047856,0.0004644445],"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":[0.0006188065,0.0001379429,0.03652766,0.001413341,0.0001499847,0.00006821542,0.00007306716,0.003463749,0.0004372447,0.0006565364,0.9000299,0.05642352],"study_design_scores_gemma":[0.002726638,0.0004185775,0.3935346,0.002063712,0.0003585521,0.0002936062,0.0003287373,0.01678012,0.003231025,0.002301818,0.5776947,0.0002679284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001284524,0.00005411068,0.00112237,0.0001336938,0.00002343992,0.0003905241,0.9933941,0.00048247,0.003114726],"genre_scores_gemma":[0.01967041,0.0003419393,0.01555787,0.0002917301,0.00004815574,0.002418683,0.9497568,0.0004591094,0.01145522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3180693,"threshold_uncertainty_score":0.7828484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06723441766391881,"score_gpt":0.2563090759147778,"score_spread":0.189074658250859,"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."}}