{"id":"W3115363336","doi":"10.32473/joci.v2i4.127493","title":"Open Budgetary Meetings Amid a Pandemic: Assessing Connecticut’s Various Pathways to Public Engagement During COVID-19","year":2020,"lang":"en","type":"article","venue":"The Journal of Civic Information","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Pandemic; Government (linguistics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public administration; Political science; Public relations; State (computer science); Order (exchange); Business; Geography; Medicine; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009899087,0.0004153367,0.0003801704,0.002048516,0.01903051,0.008671365,0.001739289,0.002409352,0.006483461],"category_scores_gemma":[0.02085764,0.0006659181,0.0003232731,0.002135292,0.01139854,0.005521866,0.01168466,0.004828287,0.0002657413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01423689,"about_ca_system_score_gemma":0.01342912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08827253,"about_ca_topic_score_gemma":0.1864285,"domain_scores_codex":[0.9886009,0.007507739,0.0002130658,0.0005721361,0.000809803,0.002296366],"domain_scores_gemma":[0.9819995,0.01080582,0.00165732,0.0004684553,0.001128273,0.003940726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008002188,0.00005532486,0.01980473,0.0001371715,0.00001215687,0.001025722,0.9642538,0.000103785,0.0004149389,0.003828819,0.003403938,0.006879529],"study_design_scores_gemma":[0.00000284341,0.00002458891,0.005811193,0.0001374683,0.000002669364,0.000058613,0.9857982,0.00004742567,0.00005884801,0.000196118,0.007849137,0.00001293549],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758205,0.0004582426,0.0005107232,0.008082683,0.0001086341,0.0001225675,0.0001554602,0.00001740856,0.01472378],"genre_scores_gemma":[0.996031,0.0003118519,0.0002988479,0.001147279,0.00002337485,0.0001743856,0.00006880485,0.00001743389,0.001927071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08827253,"threshold_uncertainty_score":0.1755175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1967334420326231,"score_gpt":0.4178618301813207,"score_spread":0.2211283881486976,"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."}}