{"id":"W2974004469","doi":"10.1177/2327857919081022","title":"Applying UCD and ZET to Develop a Cloud-Based Real Time Solution for Air Quality Monitoring and Its Effects on Child and Maternal Health in Mongolia","year":2019,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Air quality index; Public health; Air pollution; Cloud computing; Health care; Business; Analytics; Environmental health; Environmental planning; Political science; Medicine; Computer science; Geography; Nursing; Data science; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001209073,0.0005497885,0.0002783776,0.0003529149,0.0005140432,0.00117603,0.001137035,0.0005465371,0.002525495],"category_scores_gemma":[0.001577672,0.0002345029,0.0006786508,0.0002296497,0.0003077302,0.0007585555,0.001614988,0.0006447508,0.0005433723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007663691,"about_ca_system_score_gemma":0.001296067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009866281,"about_ca_topic_score_gemma":0.009198646,"domain_scores_codex":[0.9994085,0.0001920005,0.00004223464,0.0001226087,0.0001078829,0.0001267927],"domain_scores_gemma":[0.9993606,0.0001803499,0.00003866076,0.0001069961,0.0001562839,0.0001570481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004940373,0.003679185,0.08889405,0.002565462,0.0005894239,0.005033426,0.008520035,0.197594,0.1383307,0.01754533,0.04398831,0.4883197],"study_design_scores_gemma":[0.0005128774,0.001564531,0.02259549,0.0001722447,0.0002197575,0.0004928118,0.002638648,0.8702472,0.029114,0.004334243,0.06797536,0.000132737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6143509,0.001380319,0.336548,0.002857729,0.0004804447,0.002008353,0.001961683,0.0196624,0.02075028],"genre_scores_gemma":[0.7614239,0.0004646062,0.2286765,0.0005601356,0.00002283256,0.0005524327,0.001882509,0.0004345387,0.005982463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009866281,"threshold_uncertainty_score":0.01961768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248217835989523,"score_gpt":0.3036532931357485,"score_spread":0.2788315095367962,"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."}}