{"id":"W7097949521","doi":"","title":"Telehealth Ontario Detection of Gastrointestinal Illness Outbreaks","year":2016,"lang":"en","type":"article","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Outbreak; Primary care; Public health; Pandemic; Infectious disease (medical specialty); Telemedicine; Disease; Public health surveillance","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":[0.0005808034,0.0002367219,0.0001007233,0.0007967979,0.0008443161,0.0006116965,0.0005034284,0.0002632797,0.005985151],"category_scores_gemma":[0.00413093,0.0001599577,0.0001713954,0.0007516859,0.0003145408,0.0004024816,0.0008344965,0.00026351,0.0003773847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007208437,"about_ca_system_score_gemma":0.009182473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6665901,"about_ca_topic_score_gemma":0.7342186,"domain_scores_codex":[0.9993535,0.0001649668,0.00004158814,0.00006701411,0.0002651903,0.0001078385],"domain_scores_gemma":[0.9967349,0.0007059275,0.000956832,0.00009557399,0.001136896,0.0003698783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000616416,0.0004355594,0.7250876,0.0008898046,0.00004977682,0.0006596672,0.006231789,0.0008203489,0.005372299,0.0007146849,0.02667002,0.232452],"study_design_scores_gemma":[0.00008173093,0.0003496559,0.9711679,0.0002611081,0.0000455171,0.0002488991,0.003673468,0.001497782,0.001524334,0.0001052342,0.02102726,0.00001714343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210075,0.001813277,0.002679834,0.005439367,0.00008026169,0.0008358461,0.003352236,0.0003561993,0.06443544],"genre_scores_gemma":[0.9884861,0.001178605,0.00344645,0.0003227626,0.0000303359,0.0001471947,0.000652237,0.000009676171,0.005726791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3334099,"threshold_uncertainty_score":0.6707468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302223883753575,"score_gpt":0.3049463464238147,"score_spread":0.2819241075862789,"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."}}