{"id":"W2071846400","doi":"10.1080/21515581.2014.889835","title":"Trust in government: A micro–macro approach","year":2014,"lang":"en","type":"article","venue":"Journal of Trust Research","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Politics; Macro; Government (linguistics); Positive economics; Economics; Aggregate (composite); Public economics; Political science; Political economy; Sociology; Law; Computer science","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":[0.008400806,0.00005434118,0.0001822475,0.0001162007,0.0002131779,0.0001112469,0.0002956028,0.00009206629,0.0001369265],"category_scores_gemma":[0.001523587,0.00004349049,0.00006705744,0.0004556335,0.0001961235,0.0001820392,0.00003102675,0.0005046504,0.00003197872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690688,"about_ca_system_score_gemma":0.0001838685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003257644,"about_ca_topic_score_gemma":0.0009628765,"domain_scores_codex":[0.9963976,0.001155559,0.0003709433,0.0000969707,0.00145108,0.0005278162],"domain_scores_gemma":[0.9989629,0.0003578626,0.0001057761,0.00009853329,0.0002339536,0.0002410073],"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":[0.000398261,0.001021519,0.6132089,0.0001696158,0.00005748319,0.00004133328,0.01844885,0.00008943668,0.01084526,0.3140333,0.01955477,0.02213123],"study_design_scores_gemma":[0.00324079,0.00145751,0.29821,0.0003360786,0.00002735312,0.00003364573,0.011649,0.002301668,0.00337391,0.03675726,0.6421136,0.0004991868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170184,0.00009243817,0.0001220382,0.00273705,0.0001228117,0.0001330127,0.000001303022,0.000003652738,0.07976927],"genre_scores_gemma":[0.9961943,0.00001632942,0.0002676888,0.0000406356,0.000787612,0.000004921641,2.042745e-7,0.000006439723,0.002681879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6225588,"threshold_uncertainty_score":0.4924605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235638465385264,"score_gpt":0.4436288730680517,"score_spread":0.3200650265295253,"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."}}