{"id":"W3138198579","doi":"10.1561/113.00000028","title":"Pandemic Pluralism: Legislator Championing of Organized Interests in Response to COVID-19","year":2021,"lang":"en","type":"article","venue":"Journal of Political Institutions and Political Economy","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Legislator; Champion; Pandemic; Political science; Ideology; 2019-20 coronavirus outbreak; Recession; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pluralism (philosophy); Political economy; Public administration; Law; Sociology; Economics; Politics; Virology; 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":[0.004957071,0.0001097209,0.0002828522,0.001333032,0.004441383,0.004025597,0.0005300523,0.001482667,0.005908676],"category_scores_gemma":[0.01709495,0.0002362971,0.0001789338,0.00150577,0.002181372,0.001909168,0.003087792,0.001899128,0.0005664987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498133,"about_ca_system_score_gemma":0.001653604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0044022,"about_ca_topic_score_gemma":0.01216423,"domain_scores_codex":[0.9963837,0.00186025,0.0001307241,0.0003868442,0.0005634358,0.0006749861],"domain_scores_gemma":[0.9853076,0.00633932,0.004280639,0.0008819423,0.001359865,0.001830766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005890438,0.0004527663,0.6107737,0.0004006852,0.000152944,0.001267875,0.1464196,0.0006941175,0.009887209,0.04392117,0.02540609,0.1600347],"study_design_scores_gemma":[0.0000684336,0.0003490673,0.7205188,0.0001977188,0.00006459538,0.0004545136,0.1319758,0.00205155,0.00213254,0.008091976,0.1340181,0.000076962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95563,0.0002921515,0.000548626,0.005711185,0.0001002749,0.0000390263,0.0001157477,0.00002673859,0.03753626],"genre_scores_gemma":[0.9970668,0.00008293847,0.0002324763,0.000626179,0.00006414656,0.00001420021,0.00007048582,0.000007713053,0.001835074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005908676,"threshold_uncertainty_score":0.02621579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062398432503261,"score_gpt":0.4230032750132741,"score_spread":0.3167634317629481,"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."}}