{"id":"W4206922344","doi":"10.1093/polsoc/puab018","title":"Long-term policy impacts of the coronavirus: normalization, adaptation, and acceleration in the post-COVID state","year":2022,"lang":"en","type":"article","venue":"Policy and Society","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pandemic; Normalization (sociology); Political science; Public policy; Coronavirus; Development economics; Population; Coronavirus disease 2019 (COVID-19); Public economics; Economic growth; Sociology; Economics; Disease; Infectious disease (medical specialty); Social science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005358419,0.0001382761,0.0002505682,0.001126782,0.002655971,0.008048515,0.0007712789,0.002295555,0.002991926],"category_scores_gemma":[0.01201668,0.0001340056,0.0003376472,0.00152778,0.008725285,0.00500476,0.004225024,0.003069891,0.0001391711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0122802,"about_ca_system_score_gemma":0.007154011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01395379,"about_ca_topic_score_gemma":0.01645845,"domain_scores_codex":[0.9967185,0.001624755,0.0001211029,0.0002086956,0.0003604843,0.0009664787],"domain_scores_gemma":[0.9943189,0.003131409,0.0008451398,0.0002511349,0.0008637036,0.0005897534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009272733,0.0001228278,0.01832488,0.0001768166,0.00002723704,0.000263141,0.02298726,0.003083737,0.0004334893,0.9276936,0.005199359,0.02159487],"study_design_scores_gemma":[0.00002349059,0.0002025954,0.1322417,0.001423012,0.00004456608,0.0001374073,0.140551,0.007694808,0.001817909,0.5783617,0.1373615,0.0001402797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5633081,0.007241541,0.004713896,0.2522129,0.0008756238,0.00008259003,0.0002713916,0.00004031239,0.1712537],"genre_scores_gemma":[0.9956345,0.001322797,0.0003051913,0.001147051,0.0001152229,0.00002082664,0.00002806131,0.00000559301,0.001420718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01395379,"threshold_uncertainty_score":0.08909947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05120057024916202,"score_gpt":0.3609757265437906,"score_spread":0.3097751562946285,"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."}}