{"id":"W3035855704","doi":"10.1080/21622671.2020.1771022","title":"The COVID-19 pandemic: territorial, political and governance dimensions of the crisis","year":2020,"lang":"en","type":"article","venue":"Territory Politics Governance","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Politics; 2019-20 coronavirus outbreak; Corporate governance; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Political economy; Business; Virology; Sociology; Medicine; Law; Outbreak","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":[0.005050693,0.0003135483,0.0005549545,0.001352711,0.007316185,0.01834353,0.001049983,0.004536272,0.007799665],"category_scores_gemma":[0.004876345,0.000526323,0.0003347247,0.002252686,0.03143314,0.01390707,0.0124259,0.008710198,0.0005170524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008422323,"about_ca_system_score_gemma":0.008534565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296018,"about_ca_topic_score_gemma":0.02509686,"domain_scores_codex":[0.9956747,0.002200555,0.0001337725,0.0002476371,0.0005388019,0.001204615],"domain_scores_gemma":[0.9946333,0.001805453,0.0004592571,0.0002588987,0.0005676249,0.002275506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007717817,0.00005533767,0.009425298,0.0002531275,0.00002548726,0.0007150912,0.1135142,0.0007865494,0.0005160348,0.7656326,0.08314597,0.02585318],"study_design_scores_gemma":[0.00001918868,0.00006762124,0.02004587,0.0008512003,0.00001263523,0.0005480968,0.2782414,0.001110795,0.0001585878,0.2266412,0.4722003,0.0001030971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1018635,0.02377677,0.005359101,0.6664613,0.002947713,0.00009818409,0.0004195624,0.00008390821,0.1989899],"genre_scores_gemma":[0.9423836,0.01308564,0.001704732,0.03183272,0.001630393,0.000105454,0.0001954635,0.0001076169,0.008954351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02296018,"threshold_uncertainty_score":0.06110859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06265320304082059,"score_gpt":0.3393010005813982,"score_spread":0.2766477975405776,"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."}}