{"id":"W4252662100","doi":"10.1136/vr.j1414","title":"Equine disease surveillance: quarterly summary","year":2017,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Helminth infection and control","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease surveillance; Quarter (Canadian coin); Animal health; Veterinary medicine; Disease; Medicine; Environmental health; Geography; Pathology","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":[0.003641251,0.0009115552,0.0005676096,0.006773198,0.0002386759,0.001612195,0.0006427541,0.0005777185,0.01349376],"category_scores_gemma":[0.01345942,0.0004070777,0.0005079277,0.005884867,0.0001510101,0.001073408,0.0006687151,0.0006723733,0.009230373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000737431,"about_ca_system_score_gemma":0.001911738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622689,"about_ca_topic_score_gemma":0.0160862,"domain_scores_codex":[0.9964097,0.000457357,0.001156398,0.0003250028,0.001418478,0.0002329642],"domain_scores_gemma":[0.9819288,0.001396435,0.003454048,0.0006490396,0.01175134,0.00082026],"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":[0.0002319853,0.00009973549,0.06204439,0.002407891,0.0001237061,0.0001083997,0.0001574394,0.0005114545,0.0007255112,0.0001970776,0.7602296,0.1731628],"study_design_scores_gemma":[0.00004845635,0.0003628144,0.4886958,0.001195814,0.00008830825,0.0005444591,0.0003507615,0.0005591589,0.0007483622,0.00014064,0.5072288,0.00003668294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04846477,0.03121763,0.005607598,0.01225759,0.00513228,0.001352006,0.8308355,0.002921381,0.06221119],"genre_scores_gemma":[0.1128562,0.04099328,0.006875528,0.003356643,0.004434907,0.001188808,0.7810326,0.0005000262,0.04876202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622689,"threshold_uncertainty_score":0.04514116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08014560675635725,"score_gpt":0.3553601190024905,"score_spread":0.2752145122461332,"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."}}