{"id":"W3047279631","doi":"10.1109/icalt49669.2020.00049","title":"Analytics-oriented Preventive Care for Communicable Disease","year":2020,"lang":"en","type":"article","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Syphilis; Communicable disease; Analytics; Government (linguistics); Disease; Computer science; Predictive analytics; Medicine; Epidemiology; Epidemiological surveillance; Infectious disease (medical specialty); Outbreak; Environmental health; Data science; Internet privacy; Computer security; Public health; Immunology; Virology; Human immunodeficiency virus (HIV); Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003235783,0.0007495339,0.0007950977,0.001489204,0.0005756519,0.00243149,0.001403012,0.0004999356,0.002259818],"category_scores_gemma":[0.0105569,0.0002818583,0.0005768918,0.00132703,0.0006324994,0.001180353,0.001766793,0.001070813,0.0005568056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177891,"about_ca_system_score_gemma":0.0057316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03612783,"about_ca_topic_score_gemma":0.03570401,"domain_scores_codex":[0.9981884,0.0007316206,0.00007181225,0.0002615698,0.0006154479,0.0001311871],"domain_scores_gemma":[0.99389,0.002926547,0.0005426716,0.001102211,0.001189583,0.0003490173],"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":[0.0004871163,0.0006305057,0.07804309,0.001193968,0.0004472047,0.0004392259,0.001138259,0.2252224,0.007692554,0.08382401,0.0383206,0.5625611],"study_design_scores_gemma":[0.00008744754,0.0002536694,0.01545795,0.000318782,0.0001380734,0.0001931509,0.0008914979,0.8532592,0.00643562,0.09649569,0.02641113,0.00005790357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07048194,0.004688222,0.8696637,0.01933041,0.0004941694,0.0008364788,0.003984968,0.007668462,0.02285166],"genre_scores_gemma":[0.8643736,0.001993658,0.1270714,0.0008523262,0.0002283689,0.0001938493,0.002836964,0.0001058045,0.002343943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03612783,"threshold_uncertainty_score":0.0718351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747821114319854,"score_gpt":0.30657299272952,"score_spread":0.2790947815863215,"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."}}