{"id":"W4300432893","doi":"10.26443/mjm.v20i2.862","title":"COVID-19, Social Media, and Policy: Suggestions for Canada’s Health Messaging Response","year":2022,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Social media; Public relations; 2019-20 coronavirus outbreak; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internet privacy; Public opinion; Public health; Social distance; Political science; Nursing; Virology; Computer science; Politics","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":[0.02388146,0.001553666,0.001448698,0.004525937,0.02356861,0.01928712,0.006700749,0.03504455,0.01843032],"category_scores_gemma":[0.06762425,0.0009246609,0.002509959,0.005402063,0.01936365,0.01226436,0.008419365,0.0293713,0.002075304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1345194,"about_ca_system_score_gemma":0.5433722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810295,"about_ca_topic_score_gemma":0.9888728,"domain_scores_codex":[0.9753215,0.006000249,0.001078605,0.001163164,0.009354155,0.007082215],"domain_scores_gemma":[0.9123653,0.03091811,0.002151218,0.0009006379,0.03125782,0.02240699],"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":[0.00005797188,0.00004811468,0.001145887,0.0004433084,0.00003219226,0.0002943982,0.005014743,0.0003272352,0.0001511111,0.03670175,0.9363826,0.0194007],"study_design_scores_gemma":[0.0001458284,0.00005160013,0.003931169,0.002320279,0.0001039387,0.00009108386,0.02166392,0.000897501,0.000227489,0.01887417,0.9514081,0.0002848922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000349836,0.002657906,0.0001561964,0.990884,0.002259295,0.00002722995,0.00008267609,0.00003141857,0.003551428],"genre_scores_gemma":[0.02308381,0.01124526,0.003480375,0.9427047,0.00389324,0.0001736451,0.0001873471,0.00007406878,0.01515748],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1345194,"threshold_uncertainty_score":0.9760115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07931855406467975,"score_gpt":0.4040165178187268,"score_spread":0.3246979637540471,"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."}}