{"id":"W3197949185","doi":"10.1140/epjs/s11734-021-00265-z","title":"Analysis of lockdown perception in the United States during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"The European Physical Journal Special Topics","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Politecnico di Torino; Division of Civil, Mechanical and Manufacturing Innovation; Compagnia di San Paolo; National Science Foundation","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Perception; Sentiment analysis; Politics; Social media; 2019-20 coronavirus outbreak; Geography; Political science; Psychology; Computer science; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612102,0.0001716738,0.0002318791,0.0007505858,0.0004238177,0.0009213208,0.0001636252,0.0004592602,0.001072778],"category_scores_gemma":[0.004387368,0.00008518063,0.0001516898,0.0009388058,0.0002841793,0.000828574,0.0008795995,0.0004970839,0.0002878821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003482213,"about_ca_system_score_gemma":0.0002124005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109367,"about_ca_topic_score_gemma":0.01404995,"domain_scores_codex":[0.9995803,0.0001839146,0.00003120228,0.0000700477,0.00007008145,0.00006447155],"domain_scores_gemma":[0.9976139,0.001038397,0.0006600452,0.0001310301,0.000374317,0.0001822349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000777286,0.0002075836,0.9546538,0.0001427239,0.0001283887,0.0003141912,0.007940545,0.002356697,0.003762369,0.0007456959,0.008529672,0.02044103],"study_design_scores_gemma":[0.00000657073,0.00006614644,0.973965,0.0000473376,0.0000271838,0.00007361863,0.01372999,0.006943839,0.0005969348,0.0002644821,0.004252039,0.00002690957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969527,0.00007175028,0.0001842942,0.0003275922,0.00001858276,0.000008749623,0.001450409,0.000009974807,0.0009760204],"genre_scores_gemma":[0.9974705,0.00006067118,0.0001799712,0.00008803778,0.00002052261,0.00001510065,0.001947901,0.000005489808,0.0002118143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109367,"threshold_uncertainty_score":0.0217461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05805602229661302,"score_gpt":0.3467335387345923,"score_spread":0.2886775164379792,"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."}}