{"id":"W2890645415","doi":"10.5210/ojphi.v10i2.9114","title":"An innovative mobile data collection technology for public health in a field setting","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Toronto; First Nations Health and Social Secretariat of Manitoba; Public Health Agency of Canada; Canadian Women's Health Network; Sunnybrook Health Science Centre","funders":"","keywords":"Data collection; Mobile technology; Computer science; Public health surveillance; Mobile device; Health informatics; Data science; Public health; World Wide Web; Knowledge management; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008419043,0.0001675589,0.000706644,0.001561727,0.0001919096,0.00007430361,0.0006058885,0.0001431489,0.00003578996],"category_scores_gemma":[0.005637853,0.0001458235,0.00003949403,0.002647792,0.000107518,0.00157868,0.00016202,0.0006433721,0.000004726936],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006153783,"about_ca_system_score_gemma":0.00983177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003482032,"about_ca_topic_score_gemma":0.0003290455,"domain_scores_codex":[0.9959244,0.0001747106,0.00263112,0.0001465629,0.000387637,0.0007355457],"domain_scores_gemma":[0.9939409,0.000190134,0.002353416,0.0007760138,0.002131127,0.0006084077],"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":[0.0001385025,0.001298752,0.02451545,0.0009371807,0.0001046664,0.000004202375,0.004877355,0.000006075149,0.000008218713,0.0002655251,0.06650056,0.9013435],"study_design_scores_gemma":[0.004504033,0.01076175,0.008978688,0.0004633016,0.000008116582,0.0004227671,0.01026148,0.05459465,0.00001148066,0.000116505,0.9096752,0.0002020651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4344108,0.0007004266,0.2179026,0.3399523,0.001131187,0.003131146,0.002221058,0.0002149374,0.0003356591],"genre_scores_gemma":[0.3919019,0.0009753697,0.5502897,0.05051528,0.00154374,0.00005221217,0.004584482,0.00006810977,0.00006919605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9011415,"threshold_uncertainty_score":0.9957815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162394518348574,"score_gpt":0.4403923307946353,"score_spread":0.3241528789597779,"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."}}