{"id":"W2625051394","doi":"10.1145/3107548","title":"Deep optimization for spectrum repacking","year":2017,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Spectrum auction; Solver; Reuse; The Internet; Telecommunications link; Distributed computing; Mathematical optimization; Computer network; Auction theory; Operating system; Common value auction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001493753,0.00005185896,0.000105597,0.00004908492,0.002246837,0.0001624314,0.04312106,0.00003497284,0.0000755238],"category_scores_gemma":[0.07041801,0.00003532402,0.0001279691,0.0001597402,0.0004650616,0.0002516888,0.01052659,0.00007568277,0.00002712512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001491185,"about_ca_system_score_gemma":0.00002814974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009650013,"about_ca_topic_score_gemma":0.00004113877,"domain_scores_codex":[0.9991157,0.0001182012,0.0003370395,0.0001480324,0.0002007556,0.00008023677],"domain_scores_gemma":[0.941745,0.001235317,0.0006997755,0.05605913,0.0002372847,0.00002352585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002958922,0.0001778839,0.006061235,0.000005106013,0.00003866832,1.694473e-8,0.0008206946,0.0309328,0.0005883111,0.9128549,0.0279372,0.02055359],"study_design_scores_gemma":[0.0001183969,0.00000664283,0.004189649,0.000008575132,0.00001364111,0.000001258548,0.0002353146,0.04308552,0.001324132,0.9286672,0.02230084,0.00004883414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01110669,0.0003920489,0.4486856,0.496583,0.0005945712,0.001214143,0.00004692596,0.0000770165,0.04129996],"genre_scores_gemma":[0.8178824,0.00003887131,0.1809697,0.00008318677,0.00003131838,0.00005778683,0.000003631851,0.000005944138,0.0009271196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8067757,"threshold_uncertainty_score":0.9990521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2709712926747263,"score_gpt":0.4669176880769768,"score_spread":0.1959463954022505,"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."}}