{"id":"W3104355637","doi":"","title":"Manipulating Tournaments in Cup and Round Robin Competitions","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Polynomial; Throwing; Time complexity; Human–computer interaction; Artificial intelligence; Theoretical computer science; Operations research; Algorithm; Mathematics; Engineering","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":[0.001596133,0.000836482,0.0008041928,0.0004291647,0.0008137007,0.00206427,0.001327657,0.0006645059,0.01340953],"category_scores_gemma":[0.009242963,0.0003415927,0.0008416277,0.0007846551,0.001138145,0.002148039,0.001567034,0.001760851,0.001482134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066444,"about_ca_system_score_gemma":0.0008418321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893861,"about_ca_topic_score_gemma":0.002952927,"domain_scores_codex":[0.9971324,0.001151913,0.0001217395,0.0004822115,0.0006028636,0.0005088486],"domain_scores_gemma":[0.9938546,0.004077038,0.0005056656,0.0008170317,0.0003060878,0.0004395187],"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":[0.002987738,0.001441349,0.006428337,0.0009066215,0.0004138368,0.0005422952,0.0007511377,0.214558,0.03639255,0.3657433,0.04606729,0.3237675],"study_design_scores_gemma":[0.0004216885,0.001177149,0.007348637,0.0001130568,0.0001653928,0.0003384509,0.0004636039,0.5411086,0.0155032,0.3820033,0.05124508,0.000111889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4054887,0.001059578,0.4174317,0.001545492,0.0005168933,0.0008266345,0.0009523766,0.001797347,0.1703812],"genre_scores_gemma":[0.8765352,0.0003661237,0.1037953,0.0003817389,0.0001245377,0.0002337502,0.0008090517,0.00039225,0.0173621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01340953,"threshold_uncertainty_score":0.04485935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05023517356380428,"score_gpt":0.2196209748615536,"score_spread":0.1693858012977493,"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."}}