{"id":"W4200530974","doi":"10.1016/j.cities.2021.103537","title":"Global cities, hypermobility, and Covid-19","year":2021,"lang":"en","type":"article","venue":"Cities","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"University of British Columbia; Simon Fraser University; Beihang University","keywords":"Coronavirus disease 2019 (COVID-19); Global city; Pandemic; Hypermobility (travel); Globalization; Economic geography; Gateway (web page); Urban hierarchy; Geography; Hierarchy; Population; Pace; Demographic economics; Development economics; Demography; Political science; Medicine; Economics; Sociology; Disease","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":[0.001825835,0.0004384592,0.0003803156,0.003439174,0.001523515,0.003046418,0.0009245111,0.0008504211,0.01627995],"category_scores_gemma":[0.01301461,0.0002958533,0.0007804876,0.008862156,0.001483773,0.002148739,0.003568037,0.002017833,0.0005410472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145955,"about_ca_system_score_gemma":0.001856744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0345034,"about_ca_topic_score_gemma":0.03336988,"domain_scores_codex":[0.9985346,0.000649422,0.0001153261,0.0001542027,0.0001929437,0.0003535334],"domain_scores_gemma":[0.9905791,0.002037088,0.004220029,0.0008595639,0.0007295136,0.001574681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00013877,0.00007712525,0.9683607,0.0001605662,0.0002716829,0.00009396383,0.001562463,0.0002581322,0.00003246399,0.01627619,0.004980436,0.007787439],"study_design_scores_gemma":[0.00001938891,0.00007442771,0.9659562,0.0003729713,0.0001846823,0.0002121045,0.01371182,0.0004526401,0.00006897,0.009676858,0.009244473,0.00002548694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129489,0.01442089,0.001828349,0.01547193,0.0003996537,0.00006728324,0.009288466,0.00005766831,0.04551679],"genre_scores_gemma":[0.9958892,0.001478393,0.000205184,0.000163989,0.000102885,0.00003763257,0.001037112,0.00001182615,0.001073643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0345034,"threshold_uncertainty_score":0.06860512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3008330304684177,"score_gpt":0.4372065016686976,"score_spread":0.1363734712002799,"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."}}