{"id":"W7017975539","doi":"","title":"Center for Economic Studies and Research Data Centers Research Report: 2012","year":2013,"lang":"en","type":"report","venue":"eCommons (Cornell University)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Temple University; North Carolina State University; York University; University of Pennsylvania; Brigham Young University; Center for Retirement Research, Boston College; Massachusetts Institute of Technology; Boston College; U.S. Social Security Administration; Ewing Marion Kauffman Foundation","keywords":"Census; Center (category theory); Information center; Research center; Graphics; Information system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004183562,0.0003562561,0.0006578696,0.001611581,0.0006908395,0.001398889,0.001489976,0.0002885246,0.0002239719],"category_scores_gemma":[0.0004191705,0.0003713781,0.0001445047,0.0002995636,0.0004785777,0.008064297,0.005466274,0.0007497593,0.001011873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945162,"about_ca_system_score_gemma":0.0003288809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003186979,"about_ca_topic_score_gemma":0.005942419,"domain_scores_codex":[0.9969292,0.00001330953,0.0005087267,0.001300986,0.0002803258,0.0009674903],"domain_scores_gemma":[0.996519,0.0004319982,0.0004296681,0.001665434,0.0008819213,0.00007196129],"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":[0.00007371726,0.00008875957,0.006674637,0.0009409709,0.000417133,0.0002197711,0.00001831648,0.00004027276,4.607978e-7,0.01001953,0.9784293,0.003077192],"study_design_scores_gemma":[0.0005155284,0.00002315325,0.0006349219,0.0001871338,0.00006997492,0.00002784318,0.001870771,0.001158779,4.724263e-7,0.0119188,0.9831879,0.0004047549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2990038,0.001278779,0.00004522954,0.0006420119,0.003962765,0.002395108,0.0007702715,0.0001601881,0.6917419],"genre_scores_gemma":[0.6782173,0.01167048,0.0002885433,0.000228459,0.009977117,0.00004132883,0.01102816,0.0004322013,0.2881164],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4036255,"threshold_uncertainty_score":0.9998738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3875121595386989,"score_gpt":0.3431406514367621,"score_spread":0.04437150810193685,"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."}}