{"id":"W4245870361","doi":"10.1136/vr.j4715","title":"Equine disease surveillance: quarterly summary","year":2017,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease surveillance; Quarter (Canadian coin); Animal health; Veterinary medicine; Disease; Medicine; Equine influenza; Environmental health; Geography; Virology; Pathology; Outbreak","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":[0.004435917,0.001075423,0.0006241689,0.006513264,0.0002842468,0.002166625,0.0007564469,0.0007589409,0.01673386],"category_scores_gemma":[0.01468482,0.0004516648,0.0004985076,0.005641975,0.0001667575,0.001182407,0.0008167626,0.0008551947,0.01120472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000925194,"about_ca_system_score_gemma":0.002539488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01742688,"about_ca_topic_score_gemma":0.01558087,"domain_scores_codex":[0.9958281,0.0005865523,0.00114793,0.0003420816,0.001793681,0.0003016357],"domain_scores_gemma":[0.9798615,0.001332337,0.003434042,0.0005985741,0.01372058,0.001052983],"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":[0.0001689936,0.00007004646,0.02810777,0.001456957,0.00007788222,0.00008112416,0.000101111,0.0003574436,0.0004775677,0.0001530124,0.8337206,0.1352275],"study_design_scores_gemma":[0.00005279008,0.0003093823,0.3060674,0.001201864,0.00007809231,0.0004685061,0.0003809402,0.0005401468,0.000694575,0.00017407,0.689993,0.00003920812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04773688,0.05824079,0.008101926,0.03542796,0.01328133,0.001935676,0.7334763,0.004154555,0.09764457],"genre_scores_gemma":[0.1160221,0.07043756,0.009395247,0.007726369,0.01174264,0.001809808,0.706772,0.0008166185,0.07527766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01742688,"threshold_uncertainty_score":0.05598032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429618242966318,"score_gpt":0.32454698926379,"score_spread":0.2815851649671582,"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."}}