{"id":"W2339407082","doi":"10.2139/ssrn.2765642","title":"Canada's 700 Mhz Spectrum Auction: A Case Study","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Spectrum auction; Spectrum (functional analysis); Telecommunications; Business; Physics; Computer science; Mathematics; Common value auction; Auction theory; Statistics; Revenue equivalence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007372153,0.0005094111,0.0003607098,0.001383274,0.00638987,0.002962056,0.001589396,0.002934529,0.005624318],"category_scores_gemma":[0.002314485,0.0002601281,0.0005186274,0.003107938,0.001438344,0.0006475738,0.0007202073,0.0009581289,0.0007941392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01759115,"about_ca_system_score_gemma":0.02146769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.933782,"about_ca_topic_score_gemma":0.96861,"domain_scores_codex":[0.9988249,0.0001326672,0.00002774805,0.00008148547,0.0004084443,0.0005247376],"domain_scores_gemma":[0.9978853,0.0006150604,0.0001179175,0.00009237135,0.0007615791,0.0005277861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002643013,0.003980187,0.1930407,0.0009927423,0.0003757188,0.09904839,0.01016187,0.1487667,0.008082051,0.1205904,0.1962231,0.2160952],"study_design_scores_gemma":[0.001242553,0.001526059,0.23479,0.0005892954,0.0005970065,0.0344278,0.1074958,0.2144214,0.01107122,0.01951511,0.3735657,0.0007580541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864787,0.0005098015,0.002395497,0.002177661,0.00007411044,0.0002495816,0.001477763,0.0001494898,0.1064875],"genre_scores_gemma":[0.9633713,0.0004840567,0.003856825,0.0002902854,0.00001731841,0.00003085951,0.0005383735,0.00004512212,0.03136582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06621802,"threshold_uncertainty_score":0.1332159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593179552172759,"score_gpt":0.3379537430620776,"score_spread":0.3020219475403501,"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."}}