{"id":"W2166499541","doi":"10.1186/1472-6963-6-10","title":"Using Ontario's \"Telehealth\" health telephone helpline as an early-warning system: a study protocol","year":2006,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; SGS (Canada)","funders":"Queen's University; London School of Hygiene and Tropical Medicine","keywords":"Medicine; Medical emergency; Hotline; Health informatics; Telehealth; Warning system; Health administration; Nursing research; Public health surveillance; Public health; Telephone line; Telephone call; Health care; Telemedicine; Nursing; Telecommunications; Telephone network","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04284876,0.002697432,0.002840257,0.002696401,0.007275661,0.003922369,0.005179673,0.004648052,0.03192951],"category_scores_gemma":[0.02441013,0.003072931,0.002710147,0.003215167,0.003477453,0.002643052,0.002169749,0.003791115,0.009186829],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0296727,"about_ca_system_score_gemma":0.09883416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1184133,"about_ca_topic_score_gemma":0.2086793,"domain_scores_codex":[0.9820091,0.009478047,0.003057907,0.001437757,0.002250812,0.001766372],"domain_scores_gemma":[0.978188,0.00444911,0.00366719,0.002124889,0.008296206,0.003274567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.2038296,0.1313552,0.06570589,0.07253199,0.001489252,0.005780501,0.03894489,0.009356277,0.007844132,0.02148725,0.1504071,0.291268],"study_design_scores_gemma":[0.2287384,0.1192569,0.2088521,0.02801717,0.001291004,0.0009495067,0.02485608,0.005951653,0.005243747,0.007260305,0.3685608,0.00102236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.003111973,0.00005582847,0.0006845247,0.0001280821,0.00003372854,0.9941367,0.001099804,0.00001602662,0.000733359],"genre_scores_gemma":[0.003083748,0.00007994349,0.001587148,0.0001620339,0.00001534546,0.9944358,0.0002673756,0.000001889823,0.0003667454],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9703273,"threshold_uncertainty_score":0.2354482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09154824735361826,"score_gpt":0.4835168587450541,"score_spread":0.3919686113914358,"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."}}