{"id":"W3176178495","doi":"10.51644/bap43","title":"Planes, Trains and Quarantines: Travelling to Canada in the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Balsillie Papers","topic":"Travel-related health issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plague (disease); Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Train; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Reflection (computer programming); Geography; History; Political science; Media studies; Genealogy; Sociology; Cartography; Virology; Computer science; Biology; Medicine; Archaeology; Outbreak","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002904218,0.0006243563,0.0003970673,0.0008424456,0.02103326,0.01012421,0.002050162,0.006330757,0.00977718],"category_scores_gemma":[0.007182208,0.0004008351,0.0003318672,0.001635361,0.00781506,0.003498536,0.003256982,0.0107018,0.0009590047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05401877,"about_ca_system_score_gemma":0.1192739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744474,"about_ca_topic_score_gemma":0.9893456,"domain_scores_codex":[0.9970101,0.0005813985,0.00009021315,0.0001550035,0.0007702999,0.001392949],"domain_scores_gemma":[0.9949474,0.0006434912,0.0002234886,0.00004787632,0.001572373,0.002565352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004963183,0.000053985,0.004816523,0.000280301,0.0000224487,0.0008078464,0.02614815,0.00033943,0.0001702769,0.01738966,0.9021686,0.04775307],"study_design_scores_gemma":[0.00001305597,0.00003702215,0.007667819,0.001021048,0.00001499366,0.0002755434,0.08777438,0.0001054656,0.000113244,0.002598247,0.9002947,0.00008440354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01147117,0.04077009,0.0001549188,0.8973489,0.01328741,0.00003230283,0.0001641357,0.00002293261,0.03674816],"genre_scores_gemma":[0.2336683,0.1860829,0.0009169393,0.4340895,0.007564808,0.00005010381,0.0003227225,0.0001670524,0.1371377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05401877,"threshold_uncertainty_score":0.3919354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06131949184519927,"score_gpt":0.3280645945058828,"score_spread":0.2667451026606835,"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."}}