{"id":"W2514670910","doi":"10.1017/9781316471609.039","title":"Solving the Station Repacking Problem","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Spectrum auction; Computer science; Reverse auction; Vickrey–Clarke–Groves auction; Common value auction; Auction theory; Operations research; Economics; Microeconomics; Engineering; Revenue equivalence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004927467,0.002137292,0.00306923,0.001180167,0.002462768,0.003914039,0.005168648,0.00564668,0.0415797],"category_scores_gemma":[0.01982807,0.001527771,0.002205169,0.002043689,0.00285318,0.009406323,0.004544017,0.006443607,0.005169945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517096,"about_ca_system_score_gemma":0.002226827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004927053,"about_ca_topic_score_gemma":0.00502601,"domain_scores_codex":[0.9959981,0.00176717,0.0002185601,0.0009031091,0.0005142486,0.0005987457],"domain_scores_gemma":[0.9878967,0.008892357,0.0006972759,0.001159055,0.0007534868,0.0006012069],"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":[0.00181312,0.0009063305,0.004008908,0.001653226,0.0005027362,0.001896486,0.001528464,0.3532273,0.002282262,0.3884921,0.09154993,0.1521391],"study_design_scores_gemma":[0.0007291532,0.0004252577,0.0007226003,0.0002289698,0.0001729713,0.0008259126,0.0009937849,0.4682208,0.001302063,0.4923303,0.03394696,0.0001012631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1143093,0.003714579,0.7492852,0.009245167,0.001467469,0.0008944518,0.001860801,0.001759034,0.1174639],"genre_scores_gemma":[0.6217855,0.002797391,0.2928776,0.002375633,0.0009482492,0.0009038605,0.003545155,0.001245669,0.07352089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0415797,"threshold_uncertainty_score":0.1390979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09900973166627018,"score_gpt":0.3021896025677139,"score_spread":0.2031798709014437,"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."}}