{"id":"W53868424","doi":"","title":"Transparency in Government","year":2009,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Business; Government (linguistics); Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096896,0.0001375529,0.0002008527,0.00003930923,0.00050524,0.0003207682,0.001095977,0.0000756583,0.0009004105],"category_scores_gemma":[0.00004010002,0.0001151729,0.00004322421,0.000555264,0.0001141083,0.0001859009,0.0001056713,0.000107472,0.0002000157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847782,"about_ca_system_score_gemma":0.00014632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071571,"about_ca_topic_score_gemma":0.006583603,"domain_scores_codex":[0.9984232,0.0001447955,0.0003316913,0.0002976459,0.0003951806,0.0004075128],"domain_scores_gemma":[0.9993929,0.00006805192,0.0001060953,0.000297978,0.00003197889,0.0001029723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458257,0.000265698,0.01087919,0.000007004087,0.00001208703,0.00001271349,0.04484053,0.0014908,0.00005664373,0.004479357,0.004478356,0.9333318],"study_design_scores_gemma":[0.0003956002,0.000007645138,0.1370216,0.00002410985,0.000004434517,0.00000141581,0.005813475,0.00007619101,0.000002170583,0.000151732,0.8563397,0.0001618731],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2437807,0.0001454934,0.001674225,0.02570517,0.0002354586,0.0009704831,0.000004146398,0.000106822,0.7273775],"genre_scores_gemma":[0.9566863,0.00005495906,0.00008314389,0.002877476,0.000135217,0.00002999231,0.000003416497,0.00001181826,0.04011771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9331699,"threshold_uncertainty_score":0.9858863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006030849631899,"score_gpt":0.2827605597368938,"score_spread":0.2527002512405749,"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."}}