{"id":"W3107850372","doi":"10.1332/251569120x16040852770342","title":"Health politics? Determinants of US states’ reactions to COVID-19","year":2020,"lang":"en","type":"article","venue":"Journal of Public Finance and Public Choice","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Limiting; Politics; Pandemic; Coronavirus disease 2019 (COVID-19); State (computer science); Economics; Social distance; Balanced budget; 2019-20 coronavirus outbreak; Political science; Public economics; Economic policy; Virology; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264654,0.0001047697,0.0004108461,0.0001696249,0.000795369,0.0001128397,0.0002914094,0.0000787911,0.00002025364],"category_scores_gemma":[0.00578474,0.0000856525,0.00009989458,0.0008167414,0.0003134015,0.0006614591,0.00007058232,0.000220698,0.000003082512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752758,"about_ca_system_score_gemma":0.002336626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190902,"about_ca_topic_score_gemma":0.005450001,"domain_scores_codex":[0.998135,0.000212729,0.0006004861,0.000135849,0.0004195621,0.0004963445],"domain_scores_gemma":[0.9975613,0.0003392688,0.0006804147,0.00008523413,0.0004097722,0.000923978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005584792,0.0004660941,0.4505728,0.0005350477,0.0002302871,0.00002787984,0.1638487,0.00002764389,0.00002707916,0.1416576,0.1478969,0.09465419],"study_design_scores_gemma":[0.0004034351,0.0002783778,0.04614224,0.00002622328,0.000008050944,0.000009653866,0.008434516,0.00001036809,0.000004039889,0.002399396,0.9421785,0.0001052103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.547825,0.0007143344,0.0001889472,0.44887,0.0003465309,0.0001502132,0.00004214063,0.00001822873,0.001844595],"genre_scores_gemma":[0.980135,0.003871462,0.0001816333,0.01412064,0.001255923,0.000003612033,0.00000103187,0.000008166038,0.0004225126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7942816,"threshold_uncertainty_score":0.9946707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128354683958313,"score_gpt":0.4113889981858723,"score_spread":0.2985535297900409,"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."}}