{"id":"W3118849256","doi":"10.3390/su13020498","title":"COVID-19 in Toronto: A Spatial Exploratory Analysis","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spatial analysis; Geography; Coronavirus disease 2019 (COVID-19); Geographic information system; Spatial ecology; Pandemic; Econometrics; Environmental resource management; Regional science; Cartography; Mathematics; Infectious disease (medical specialty); Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009293336,0.0002808823,0.0002485515,0.002771681,0.00137377,0.001031837,0.0004056639,0.0002494988,0.001967105],"category_scores_gemma":[0.003831961,0.000177883,0.0004657437,0.006038603,0.0008836249,0.0003476026,0.00156127,0.000269512,0.0001465094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00745998,"about_ca_system_score_gemma":0.006133265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8185315,"about_ca_topic_score_gemma":0.8689541,"domain_scores_codex":[0.9993898,0.0002196705,0.00004730444,0.00006946595,0.0001091282,0.0001646193],"domain_scores_gemma":[0.9980756,0.0008994736,0.0003531186,0.0001221105,0.0004137125,0.0001359254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001132175,0.00004206952,0.9463938,0.0003228707,0.0001131165,0.001846081,0.0305037,0.003079355,0.00101876,0.002744774,0.001588483,0.01223372],"study_design_scores_gemma":[0.000004511989,0.00007080807,0.9389353,0.00009664951,0.0000602064,0.0002214619,0.05257652,0.003880775,0.0002213984,0.0002326807,0.003683707,0.00001586788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943193,0.0002018781,0.0006670009,0.0001165731,0.000002443645,0.00009310011,0.002640232,0.00001085633,0.001948415],"genre_scores_gemma":[0.9966072,0.0001895872,0.0009878799,0.00001007712,0.00000228972,0.00004655837,0.00159522,0.000003479562,0.0005577834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1814685,"threshold_uncertainty_score":0.3650745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364033387962004,"score_gpt":0.4567739396936978,"score_spread":0.3203706008974974,"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."}}