{"id":"W3115883702","doi":"10.3389/fhumd.2020.609694","title":"(In)Essential Bordering: Canada, COVID, and Mobility","year":2020,"lang":"en","type":"article","venue":"Frontiers in Human Dynamics","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Pierre Elliott Trudeau Foundation; Australian Government; Government of Canada; Canadian Institute for Advanced Research","keywords":"Coronavirus disease 2019 (COVID-19); Subsidy; Political science; Politics; Closure (psychology); Norm (philosophy); Pandemic; Political economy; Development economics; Economic growth; Sociology; Economics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005969231,0.0002060699,0.0001972115,0.0008271596,0.01986596,0.007419556,0.0009556736,0.001493004,0.0116169],"category_scores_gemma":[0.00205081,0.000120999,0.0002145334,0.00209362,0.01391118,0.002224635,0.004282958,0.002376857,0.0002757406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05135774,"about_ca_system_score_gemma":0.08944462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882523,"about_ca_topic_score_gemma":0.9947463,"domain_scores_codex":[0.9989039,0.00009548109,0.00002181818,0.0001036896,0.0002226982,0.0006525191],"domain_scores_gemma":[0.9991651,0.0001006955,0.00008212027,0.00002698683,0.0002207384,0.0004044588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003990987,0.00001622847,0.01449766,0.00008896899,0.000009052924,0.0005292622,0.08807267,0.0003397088,0.0001909388,0.8144022,0.04863989,0.03317358],"study_design_scores_gemma":[0.00001678297,0.00001993831,0.04693618,0.0006346389,0.00002443166,0.0004416736,0.210909,0.0006265277,0.000284233,0.04746657,0.6925569,0.00008316453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.246436,0.009103513,0.002143099,0.1163767,0.001041604,0.00005966479,0.0008016598,0.00004697631,0.6239908],"genre_scores_gemma":[0.9519492,0.002927574,0.0004529548,0.0032722,0.00006561715,0.0000153883,0.0001164682,0.00002111257,0.04117954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05135774,"threshold_uncertainty_score":0.3726282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459642383533884,"score_gpt":0.2792979182179803,"score_spread":0.2647014943826415,"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."}}