{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00269594,0.0003622755,0.0007234497,0.002872508,0.00124067,0.00557222,0.0008265151,0.001233491,0.004130626],"category_scores_gemma":[0.009333999,0.0003455283,0.0006598862,0.002289815,0.003399541,0.004608371,0.002878533,0.001784213,0.0003578279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005201064,"about_ca_system_score_gemma":0.001676289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424184,"about_ca_topic_score_gemma":0.009994704,"domain_scores_codex":[0.9973848,0.001488393,0.0001133019,0.0002923118,0.0003438437,0.0003772615],"domain_scores_gemma":[0.9915254,0.004753632,0.001505842,0.0005318588,0.0006627612,0.001020506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001311758,0.0002297599,0.1337169,0.0001661059,0.0004470398,0.0006368703,0.003712187,0.04145772,0.0003600521,0.7894595,0.003592699,0.02609009],"study_design_scores_gemma":[0.00004154315,0.0002850973,0.1047284,0.0001961472,0.0002214962,0.0003267568,0.005460677,0.1693573,0.0002672949,0.7047932,0.01421755,0.0001046078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6838349,0.004018371,0.1654964,0.03136473,0.0002259423,0.0003284859,0.001633802,0.0001528862,0.1129445],"genre_scores_gemma":[0.9962537,0.0003061772,0.002077438,0.0001137109,0.00005666097,0.00004099564,0.0000506107,0.000006204913,0.001094477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424184,"threshold_uncertainty_score":0.03773648,"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."}}