{"id":"W1502380032","doi":"10.1007/978-3-642-20798-3_7","title":"Strategyproof Mechanisms for Content Delivery via Layered Multicast","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Multicast; Computer science; Revenue; Maximization; Mathematical optimization; Mechanism design; Approximation algorithm; Computer network; Algorithm; Mathematical economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002232294,0.0003650881,0.0004837628,0.0005577024,0.0004074447,0.0003290369,0.002167517,0.0002877936,0.0003891078],"category_scores_gemma":[0.0003315134,0.00027864,0.0002128458,0.0003753871,0.0008013675,0.0003272624,0.0003922352,0.0003785034,0.0002522905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100791,"about_ca_system_score_gemma":0.0002464587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001372163,"about_ca_topic_score_gemma":0.00006682793,"domain_scores_codex":[0.9963211,0.00004132897,0.0007813581,0.001380557,0.001043523,0.0004320772],"domain_scores_gemma":[0.9959979,0.001420077,0.0004664543,0.00112836,0.0008029564,0.000184258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004279173,0.00004521235,0.000004121473,0.000006859003,0.00001136789,0.000006085147,0.0003380152,0.004558901,0.002006433,0.2478202,0.00003934614,0.7451207],"study_design_scores_gemma":[0.0002342628,0.0001499482,0.00002885714,0.00004473121,0.00001037969,0.00002175413,0.000001921883,0.0517873,0.006619048,0.9387997,0.001967428,0.0003346447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001250296,0.00008524695,0.9950347,0.0003163108,0.001068107,0.0008076428,0.00004908031,0.00006103499,0.002452843],"genre_scores_gemma":[0.7718412,0.000009724937,0.2230316,0.001111617,0.000364868,0.0000730236,0.000009512709,0.0000380423,0.003520367],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7720031,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.167402398657824,"score_gpt":0.3350447582413962,"score_spread":0.1676423595835722,"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."}}