{"id":"W3135481385","doi":"10.3138/cpp.2020-134","title":"The Economic and Long-Term Health Consequences of Canadian COVID-19 Lockdowns","year":2021,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Term (time); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Economics; Medicine; Virology; Outbreak","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":[0.00212228,0.000263402,0.0003527111,0.001144327,0.003217867,0.003818683,0.001264516,0.001404597,0.006370687],"category_scores_gemma":[0.01016976,0.0002721749,0.0006110924,0.001943129,0.001961787,0.0008877064,0.001865554,0.002196861,0.0002253719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06690209,"about_ca_system_score_gemma":0.0379374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98177,"about_ca_topic_score_gemma":0.981602,"domain_scores_codex":[0.9978406,0.000186721,0.00005183308,0.0001582308,0.000584187,0.001178301],"domain_scores_gemma":[0.9966576,0.0006601219,0.0007905739,0.0001728602,0.0009143492,0.0008044716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007956791,0.000287734,0.3956749,0.000271798,0.0002992608,0.00152966,0.003203408,0.08464529,0.001763134,0.3724767,0.05286818,0.08618426],"study_design_scores_gemma":[0.0001700314,0.0001905663,0.7651244,0.0004348305,0.0003486502,0.0003116619,0.006340889,0.07706377,0.001308413,0.06399775,0.08445685,0.0002520328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141575,0.003741349,0.005323821,0.07205973,0.0002639775,0.0001230389,0.01421254,0.0001245452,0.08999351],"genre_scores_gemma":[0.9917175,0.0009524124,0.00045557,0.0009879033,0.00003159928,0.00001391613,0.0007557097,0.000008933204,0.00507645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06690209,"threshold_uncertainty_score":0.4854109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006848379940549,"score_gpt":0.4137832992092252,"score_spread":0.3130984612151704,"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."}}