{"id":"W3157720081","doi":"10.1109/hpcc-smartcity-dss50907.2020.00177","title":"Spatial Data Science of COVID-19 Data","year":2020,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Big data; Data science; Computer science; Coronavirus disease 2019 (COVID-19); Spatial analysis; Analytics; Spatial epidemiology; Variety (cybernetics); Data analysis; Pandemic; Disease; Epidemiology; Data mining; Infectious disease (medical specialty); Medicine; Geography; Artificial intelligence; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005858234,0.001189421,0.001151197,0.009563477,0.001932607,0.007932276,0.002727458,0.001435292,0.008016134],"category_scores_gemma":[0.03412446,0.0008395707,0.00180383,0.0154854,0.001632013,0.00807198,0.006595328,0.002278965,0.004801287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114026,"about_ca_system_score_gemma":0.003514121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01855841,"about_ca_topic_score_gemma":0.01213879,"domain_scores_codex":[0.9927006,0.001624471,0.0009212517,0.001581021,0.002909369,0.0002632285],"domain_scores_gemma":[0.9742744,0.009400472,0.001878774,0.007666868,0.00579347,0.0009860939],"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":[0.0006936871,0.0002602509,0.07115527,0.003195876,0.0009600222,0.002136699,0.005014977,0.04685709,0.01026632,0.1776596,0.2937412,0.3880589],"study_design_scores_gemma":[0.00007863655,0.0001043045,0.01475492,0.0006543782,0.000192296,0.001271787,0.003705386,0.1822413,0.01078262,0.1538442,0.6321706,0.0001993926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02263979,0.004166249,0.7322659,0.01864335,0.001383142,0.001300353,0.1104832,0.06332488,0.04579318],"genre_scores_gemma":[0.2650303,0.005753352,0.5903697,0.003480551,0.001101503,0.0007482741,0.1236725,0.003023153,0.00682055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01855841,"threshold_uncertainty_score":0.03690076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2609284632176634,"score_gpt":0.4376495589182181,"score_spread":0.1767210957005547,"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."}}