{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001878243,0.0001076534,0.0002210006,0.00002262099,0.0003816138,0.00004327337,0.0001872614,0.00007634259,0.0000310351],"category_scores_gemma":[0.0002445951,0.0001124532,0.0000244211,0.0001970334,0.0003502938,0.0001377615,0.00008797875,0.0001981093,3.63338e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119617,"about_ca_system_score_gemma":0.000176268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8065024,"about_ca_topic_score_gemma":0.9814686,"domain_scores_codex":[0.9988819,0.00009752825,0.0001995136,0.0002650612,0.0002471104,0.0003089159],"domain_scores_gemma":[0.9996724,0.00003178525,0.00004895766,0.0000681639,0.00002854594,0.0001501573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002767893,0.00005643677,0.915718,0.00008590826,0.00003145562,0.00005435716,0.05156516,0.0005398127,0.00001386734,0.009115372,0.02198992,0.0008020352],"study_design_scores_gemma":[0.00248613,0.00009177814,0.6128625,0.00005223606,0.00004615992,5.514685e-7,0.1606992,0.05687948,0.00001393933,0.007213021,0.158324,0.001331059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843853,0.0003454764,0.000540897,0.01136303,0.000619281,0.0003599731,0.00002726993,0.00003502304,0.002323823],"genre_scores_gemma":[0.9984516,0.00008400306,0.0006114973,0.000454234,0.0001114865,0.00001263788,0.000008078205,0.000006911184,0.0002595835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3028555,"threshold_uncertainty_score":0.4585709,"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."}}