{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005171014,0.001200283,0.001406883,0.004880901,0.001348938,0.003840961,0.0015416,0.001179523,0.07291926],"category_scores_gemma":[0.02563129,0.001063991,0.000476816,0.01743304,0.0004138002,0.003132204,0.001318943,0.002805592,0.07582461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00718751,"about_ca_system_score_gemma":0.02344281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.118896,"about_ca_topic_score_gemma":0.09765347,"domain_scores_codex":[0.9943394,0.0008251042,0.0004707949,0.0006340436,0.003154988,0.0005755757],"domain_scores_gemma":[0.9811736,0.003269086,0.001028965,0.001378145,0.01239714,0.000753015],"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":[0.00003353964,0.00003737744,0.00115738,0.00009332209,0.000006796508,0.000007124296,0.00003155792,0.0000622202,0.00001740249,0.002101135,0.9869046,0.009547488],"study_design_scores_gemma":[0.00007669609,0.00002627422,0.02391496,0.0002812378,0.00003829905,0.00002755488,0.0002359216,0.0004736187,0.0004206832,0.0008302982,0.9736362,0.00003834166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.001206692,0.0009821241,0.001274623,0.003258572,0.0008042721,0.0005095399,0.917918,0.0008845332,0.07316158],"genre_scores_gemma":[0.01159892,0.00672271,0.008453141,0.001403797,0.0004434258,0.004336,0.8143982,0.0008201684,0.1518236],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.118896,"threshold_uncertainty_score":0.2439392,"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."}}