{"id":"W7100693923","doi":"","title":"CHAPTER 2: Ontario’s Telehealth system: A novel syndromic surveillance system","year":2014,"lang":"en","type":"article","venue":"","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health surveillance; Public health; Disease surveillance; Telehealth; Epidemiological surveillance; Scope (computer science); Epidemiologic Surveillance; Pandemic","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":[0.0009364697,0.0005021105,0.0002414551,0.001151276,0.001767544,0.002827742,0.001641961,0.001330534,0.01230043],"category_scores_gemma":[0.001021337,0.0003735224,0.0002821287,0.001437221,0.0006366252,0.00139725,0.001319625,0.0005056715,0.003799039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008126238,"about_ca_system_score_gemma":0.01011712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4550934,"about_ca_topic_score_gemma":0.5311249,"domain_scores_codex":[0.9990072,0.00007567303,0.00004832656,0.0001765685,0.0006080549,0.00008416021],"domain_scores_gemma":[0.9994997,0.00005759206,0.00003597302,0.00005121162,0.0002748137,0.0000807364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003114846,0.0003062829,0.03459387,0.0007522816,0.0000477916,0.001196533,0.00299724,0.005946995,0.02917232,0.03022169,0.2844091,0.6100445],"study_design_scores_gemma":[0.00005838904,0.0001347255,0.02512264,0.0002611976,0.00005875216,0.0007841576,0.0006237873,0.03614669,0.00609924,0.001971116,0.9286265,0.000112701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1074146,0.007724409,0.296173,0.02229881,0.001971566,0.008005472,0.01913874,0.0146899,0.5225835],"genre_scores_gemma":[0.4009474,0.008154039,0.2969554,0.003182879,0.001381915,0.002087258,0.01272372,0.0005537196,0.2740136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5449066,"threshold_uncertainty_score":0.9048889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606599726615965,"score_gpt":0.2338011611686987,"score_spread":0.2177351639025391,"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."}}