{"id":"W7014903086","doi":"","title":"School of Public &amp; International Affairs 2010-2011 Report of Faculty Research &amp; Scholarship","year":2020,"lang":"en","type":"other","venue":"VTechWorks (Virginia Tech)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"District Department of Transportation; Division of Graduate Education; Strong; IBM Center for the Business of Government; U.S. Department of Transportation; National Science Foundation","keywords":"Government (linguistics); Scholarship; Quarter (Canadian coin); Public policy; Center (category theory); Capital (architecture); Public speaking; Professional development","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.007842532,0.001231358,0.001983527,0.005941757,0.0001640828,0.0002918758,0.005307483,0.002896266,0.0643182],"category_scores_gemma":[0.01191166,0.001272048,0.0007985203,0.003864721,0.001598938,0.0005940035,0.002339755,0.006425524,0.04169073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071547,"about_ca_system_score_gemma":0.001517977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103263,"about_ca_topic_score_gemma":0.001793487,"domain_scores_codex":[0.9867393,0.0009807331,0.002520784,0.002361911,0.005781116,0.001616191],"domain_scores_gemma":[0.9890147,0.0003508048,0.003212992,0.004523083,0.00191808,0.0009803058],"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":[0.0001564099,0.0005057293,0.007990734,0.0003113109,0.0009818873,0.000171216,0.00008165202,0.000003890349,0.008673516,0.0006629836,0.9789228,0.001537812],"study_design_scores_gemma":[0.001080131,0.00008370321,0.00192209,0.001438574,0.0001117326,0.0002167307,0.0001444177,0.000005075768,0.0009469179,0.0007287814,0.9922784,0.001043464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009982766,0.002035837,0.002297463,0.002656003,0.002116491,0.002831984,0.005492424,0.002986193,0.9785853],"genre_scores_gemma":[0.0379184,0.0004725045,0.04063743,0.00004430635,0.0014872,0.0003641013,0.007006558,0.004350999,0.9077185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07086682,"threshold_uncertainty_score":0.998973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1853952396103748,"score_gpt":0.3966833199752764,"score_spread":0.2112880803649016,"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."}}