{"id":"W2266931929","doi":"","title":"The Adverse Economic Effects of Spectrum Set-Asides","year":2007,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Common value auction; Spectrum auction; Aside; Set-aside; Set (abstract data type); Constructive; Business; Wireless; Telecommunications; Computer science; Economics; Microeconomics; Auction theory","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":[],"consensus_categories":[],"category_scores_codex":[0.000214898,0.0001336109,0.0001481788,0.00003837197,0.00009584005,0.00002576979,0.0001800352,0.00006392864,0.00006711396],"category_scores_gemma":[0.00002775529,0.0001053006,0.00008247954,0.00005897779,0.00007281813,0.0001224334,0.00002511173,0.0001501997,0.0004404851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008524499,"about_ca_system_score_gemma":0.00001662154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005663921,"about_ca_topic_score_gemma":0.001583284,"domain_scores_codex":[0.9992875,0.00001423311,0.0002011332,0.00004925738,0.00007549418,0.0003723672],"domain_scores_gemma":[0.9992847,0.0002865084,0.00003371946,0.0002743768,0.000006648019,0.0001139883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004549799,0.0001571486,0.03618313,0.001994014,0.001635931,0.0001174741,0.01528356,0.04464009,0.1258803,0.6586128,0.09608012,0.01896041],"study_design_scores_gemma":[0.0009547553,0.0001252674,0.05781421,0.0001174853,0.00005073026,0.00001917979,0.0006295459,0.0004062969,0.7165921,0.003160366,0.2196354,0.0004946546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656423,0.0008793061,0.00007211383,0.00007768667,0.0008889405,0.000131879,0.000006807054,0.0001447073,0.0321562],"genre_scores_gemma":[0.9987067,0.0001188726,0.00003514477,0.00009129843,0.0003342685,0.000003724575,0.000001655213,0.00002781472,0.000680543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554524,"threshold_uncertainty_score":0.5661691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005771033461981995,"score_gpt":0.2231584659660369,"score_spread":0.2173874325040549,"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."}}