{"id":"W3036950299","doi":"10.3138/cpp.2020-050","title":"The Geography of Social Distancing in Canada: Evidence from Facebook","year":2020,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Social distance; Geography; Social mobility; Coronavirus disease 2019 (COVID-19); Population; Census; Demography; Pandemic; Humanities; Political science; Demographic economics; Sociology; Welfare economics; Social science; Economics; Art; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001026424,0.0003481498,0.0005760814,0.003725165,0.008478009,0.003314136,0.001454589,0.0005876267,0.003925798],"category_scores_gemma":[0.00697636,0.0003703544,0.0005197201,0.01168004,0.002818835,0.001148937,0.003223895,0.00107883,0.0003619537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03563762,"about_ca_system_score_gemma":0.04182413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968034,"about_ca_topic_score_gemma":0.9981883,"domain_scores_codex":[0.9977254,0.0003006727,0.00008875145,0.0002682949,0.0007834638,0.0008333997],"domain_scores_gemma":[0.9927747,0.0007311313,0.001909076,0.0003585117,0.002613993,0.001612572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001175736,0.00008212768,0.955125,0.00008498581,0.00008765872,0.0001819382,0.01832565,0.000310872,0.0001230169,0.002385945,0.00613297,0.01704233],"study_design_scores_gemma":[0.000006422968,0.0000151622,0.9787122,0.0000736532,0.00002004973,0.0000327411,0.0153444,0.0002978438,0.00005084289,0.0001492477,0.005274365,0.00002297308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788231,0.001645047,0.000208456,0.0028907,0.00002831938,0.00004935631,0.004456283,0.00001651953,0.01188229],"genre_scores_gemma":[0.9957267,0.001044153,0.0001310721,0.0001456741,0.00001201588,0.00001572157,0.001259961,0.00001021819,0.001654532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03563762,"threshold_uncertainty_score":0.2585703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05205569662941315,"score_gpt":0.272106808649547,"score_spread":0.2200511120201339,"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."}}