{"id":"W3038910303","doi":"10.1016/j.healthplace.2020.102389","title":"The need for GIScience in mapping COVID-19","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data science; Coronavirus disease 2019 (COVID-19); Big data; Computer science; Disease surveillance; Tracking (education); Health care; Disease; Medicine; Political science; Data mining; Psychology; Infectious disease (medical specialty)","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":[0.01960176,0.0009245128,0.00103598,0.006869302,0.001918828,0.01109918,0.003021522,0.002834083,0.01637232],"category_scores_gemma":[0.07307225,0.0009232748,0.001163332,0.006000412,0.005288641,0.01344342,0.005664786,0.004332501,0.002711258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003756224,"about_ca_system_score_gemma":0.009348582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04683236,"about_ca_topic_score_gemma":0.07390335,"domain_scores_codex":[0.9923003,0.004757921,0.0004364326,0.0007896596,0.001410931,0.0003048273],"domain_scores_gemma":[0.9139671,0.04952152,0.002617468,0.01041507,0.02103563,0.002443222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001590973,0.0001843605,0.06601965,0.002915313,0.0003798372,0.0004252887,0.00425085,0.0128721,0.00205775,0.3305714,0.138906,0.4412583],"study_design_scores_gemma":[0.00004225242,0.0001000871,0.01971742,0.002139638,0.0001247153,0.0006704699,0.01396388,0.0230181,0.001667249,0.2409963,0.69739,0.0001697974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03533285,0.02272315,0.3452535,0.3998406,0.005246605,0.0004828454,0.00856794,0.002634122,0.1799183],"genre_scores_gemma":[0.4109955,0.01603899,0.5296822,0.02367864,0.001968958,0.0007279053,0.003929414,0.0007345072,0.01224384],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04683236,"threshold_uncertainty_score":0.1036653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09696465147541643,"score_gpt":0.3852968207297224,"score_spread":0.2883321692543059,"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."}}