{"id":"W4256454126","doi":"10.1109/datacom53700.2021.00009","title":"Big Data Intelligence Solution for Health Analytics of COVID-19 Data with Spatial Hierarchy","year":2021,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Big data; Data science; Computer science; Spatial analysis; Hierarchy; Granularity; Analytics; Spatial data infrastructure; Business intelligence; Data mining; Urban hierarchy; Spatial epidemiology; Geography; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009238084,0.0001377243,0.0004068302,0.0001383613,0.00009477962,0.00002213563,0.0005667424,0.0000586422,0.0001157571],"category_scores_gemma":[0.003458142,0.0001147394,0.00003228241,0.0005016356,0.0001450034,0.0001272043,0.0007469428,0.0001344663,0.00000497946],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413138,"about_ca_system_score_gemma":0.006033818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004611148,"about_ca_topic_score_gemma":0.01325687,"domain_scores_codex":[0.9980869,0.00007182323,0.0004400289,0.0007176856,0.0003913016,0.0002922266],"domain_scores_gemma":[0.9954646,0.0007703346,0.0001797756,0.003016805,0.0002382463,0.0003302819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001448245,0.002249703,0.01661322,0.005843488,0.0006013689,0.0001297391,0.0009397341,0.0009700077,0.001056326,0.001545651,0.6394203,0.3291822],"study_design_scores_gemma":[0.002128406,0.001367188,0.001149516,0.0004620088,0.0004266493,0.00008548077,0.0003500007,0.3400977,0.004393413,0.0002686566,0.648971,0.0003000382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003581452,0.00030774,0.824607,0.1731903,0.0001537678,0.0004419895,0.0008520385,0.00005388862,0.00003520885],"genre_scores_gemma":[0.5426028,0.001513502,0.2323,0.1990644,0.001220961,0.00003436133,0.02197446,0.0001074174,0.00118209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.592307,"threshold_uncertainty_score":0.9996011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3052099961046996,"score_gpt":0.4524815668536612,"score_spread":0.1472715707489616,"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."}}