{"id":"W7112170178","doi":"","title":"Companion animal health surveillance systems: an environmental scan of system characteristics and data integration","year":2024,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Companion animal; Disease surveillance; Animal health; Zoonotic disease; Human health; Epidemiological surveillance; Public health surveillance; Epidemiologic Surveillance; One Health; Public health","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":[0.005464134,0.0003149924,0.0003697884,0.006192009,0.001157181,0.004001734,0.0007643514,0.0004357128,0.002835032],"category_scores_gemma":[0.01972533,0.0004107681,0.0004744914,0.02060768,0.0008882936,0.002873666,0.001522654,0.0006689803,0.0004775815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208439,"about_ca_system_score_gemma":0.01274854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6100177,"about_ca_topic_score_gemma":0.6397445,"domain_scores_codex":[0.9928823,0.0008678976,0.0007690613,0.0006957577,0.004249739,0.0005352579],"domain_scores_gemma":[0.9620392,0.007915567,0.004431311,0.002737683,0.0222226,0.000653691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522116,0.0000673873,0.5992083,0.001940841,0.0002418904,0.0004615614,0.007371227,0.004383176,0.006114896,0.01193034,0.03204944,0.3359787],"study_design_scores_gemma":[0.00001567896,0.00009773469,0.6990089,0.001185669,0.0001523254,0.0004217088,0.00537636,0.006296506,0.004760924,0.002385901,0.2802144,0.00008387562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5768952,0.02246782,0.04476849,0.02131583,0.0001441849,0.0009042658,0.1773269,0.003297637,0.1528796],"genre_scores_gemma":[0.87053,0.01189806,0.04854309,0.001474803,0.00008804554,0.0002672131,0.0583673,0.0006428027,0.008188723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6100177,"threshold_uncertainty_score":0.7845581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740448120293623,"score_gpt":0.2858908285046569,"score_spread":0.2584863473017207,"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."}}