{"id":"W4387705418","doi":"10.1186/s12889-023-16974-0","title":"Development and validation of the Trust in Government measure (TGM)","year":2023,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public health; Government (linguistics); Public trust; Biostatistics; Psychological intervention; Medicine; Public relations; Psychology; Social psychology; Political science; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00245075,0.00003785578,0.00008354057,0.00003215323,0.000219589,0.00002810941,0.0001085022,0.00003009811,0.00002662422],"category_scores_gemma":[0.0003397183,0.00002896125,0.00001440711,0.0004871923,0.000008793058,0.0001073425,0.0000408557,0.00004906645,0.000006731155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115428,"about_ca_system_score_gemma":0.001385582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005649171,"about_ca_topic_score_gemma":0.008553623,"domain_scores_codex":[0.9988562,0.0001977176,0.0001946401,0.00009746837,0.0004369961,0.0002169333],"domain_scores_gemma":[0.9996802,0.00005077907,0.00008045815,0.00008772469,0.0000245508,0.00007625279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002915868,0.00004102524,0.901825,0.00006160717,0.000003440762,3.081988e-7,0.04114481,0.000003015866,0.00001103975,0.01669862,0.002753744,0.03745455],"study_design_scores_gemma":[0.0001782526,0.000006972123,0.8873329,0.00002167938,4.858888e-7,9.924344e-8,0.004827383,0.00001195466,0.00005356491,0.0001667555,0.1073626,0.00003741364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980058,0.00007684164,0.00006322388,0.0159498,0.000106673,0.0002225972,0.000002201204,0.000020556,0.003500089],"genre_scores_gemma":[0.9987803,0.00007417171,0.0002279817,0.0002347214,0.00003877162,0.00001182139,0.000001493866,0.000003204945,0.0006275556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1046088,"threshold_uncertainty_score":0.4773123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08910217957379529,"score_gpt":0.3283689598074669,"score_spread":0.2392667802336716,"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."}}