{"id":"W4237230924","doi":"10.1037/e532672012-002","title":"Trust in Social Institutions: Comparisons between the Chinese, American, and Canadian Populations","year":2011,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Geography; Genealogy; History","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005842003,0.0002685807,0.0004288397,0.0002373567,0.002332821,0.0001725679,0.0008364954,0.0003148291,0.0003306977],"category_scores_gemma":[0.0001725964,0.0002198201,0.00006564397,0.001097495,0.001652375,0.000206849,0.0001116823,0.0007678528,0.0001314105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867237,"about_ca_system_score_gemma":0.0006809979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8879921,"about_ca_topic_score_gemma":0.9851692,"domain_scores_codex":[0.9979759,0.000353424,0.0003643011,0.0003795584,0.000316801,0.0006099489],"domain_scores_gemma":[0.9989113,0.000153008,0.0002073318,0.0003747813,0.00003231529,0.0003212393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004039133,0.00003399859,0.01560274,0.000005899955,0.00002376364,0.000006118237,0.0009721355,3.334729e-7,4.589188e-9,0.001461395,0.9811424,0.0007471784],"study_design_scores_gemma":[0.0001032543,0.00001116789,0.1462246,0.00001124392,0.0000664381,5.494104e-7,0.001129267,6.622437e-7,3.053597e-9,0.0009642075,0.8512483,0.0002403089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009979672,0.0003559794,0.000002710831,0.002295492,0.000495329,0.0004266362,0.994453,0.00001958498,0.0009533592],"genre_scores_gemma":[0.01425109,0.0004598684,0.00003462508,0.0006106325,0.001707893,0.00006724241,0.9828426,0.00001070677,0.00001534813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1306219,"threshold_uncertainty_score":0.998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278992735672125,"score_gpt":0.4002443732745458,"score_spread":0.2723450997073333,"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."}}