{"id":"W4366219279","doi":"10.1503/cmaj.221543","title":"COVID-19 lockdown revisionism","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"Canadian Institutes of Health Research; Alberta Innovates; Public Health Agency; Public Health Agency of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Term (time); Computer science; Social media; Data science; World Wide Web; Virology; Medicine; Nursing; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.03338331,0.0005734329,0.0007007458,0.002411848,0.008105039,0.01261813,0.002248477,0.006645395,0.01090761],"category_scores_gemma":[0.07575944,0.0005292958,0.0009919675,0.00164476,0.02810259,0.01046686,0.008149578,0.01407607,0.001992158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01216244,"about_ca_system_score_gemma":0.00827454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009216687,"about_ca_topic_score_gemma":0.006078303,"domain_scores_codex":[0.9671373,0.01380893,0.001824038,0.00518376,0.009003785,0.003042106],"domain_scores_gemma":[0.94631,0.02680215,0.001794672,0.01008465,0.01326027,0.001748208],"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":[0.00001978319,0.000007957536,0.0001690801,0.00004147701,0.000006383008,0.00004982941,0.003296878,0.0001007267,0.0001059331,0.9775704,0.01354392,0.005087552],"study_design_scores_gemma":[0.00003357311,0.00002770834,0.0003297454,0.0002250446,0.0000165033,0.0001287266,0.001449035,0.0008912088,0.0007991155,0.6457374,0.3503037,0.00005822134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02901845,0.004324874,0.05591345,0.1833722,0.006657336,0.0002221856,0.0004232031,0.0005453333,0.719523],"genre_scores_gemma":[0.8616866,0.001403556,0.01336122,0.04312987,0.003267441,0.0004011774,0.0002373457,0.0005496254,0.07596319],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03338331,"threshold_uncertainty_score":0.1765499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706859686777827,"score_gpt":0.338042808680088,"score_spread":0.3109742118123097,"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."}}