{"id":"W2203691441","doi":"10.1609/aaai.v27i2.18994","title":"Balancing the Traveling Tournament Problem for Weekday and Weekend Games","year":2013,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"League; Tournament; Heuristics; Operations research; Scheduling (production processes); Computer science; Schedule; Advertising; Operations management; Business; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.002926541,0.0001937154,0.0002932718,0.0001131705,0.0005999285,0.0008506442,0.001255467,0.00007677379,0.0001881357],"category_scores_gemma":[0.003714743,0.0001008133,0.0001536334,0.0005663927,0.0003891908,0.0003088345,0.0001863323,0.0002734762,0.0001074921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002716641,"about_ca_system_score_gemma":0.00008699684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099586,"about_ca_topic_score_gemma":0.00001733291,"domain_scores_codex":[0.9974605,0.00003019564,0.0008266272,0.0004819787,0.0007963798,0.0004043324],"domain_scores_gemma":[0.9966299,0.00105977,0.0005289364,0.0002854821,0.001386752,0.0001091595],"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":[0.0000758365,0.0001627622,0.001634478,0.0000363125,0.00005200066,9.329069e-8,0.005456363,0.0004178646,0.05352261,0.6070935,0.002842549,0.3287056],"study_design_scores_gemma":[0.00005262308,0.0001847002,0.001452369,0.0002186614,0.00004038886,0.000006674116,0.009397188,0.09103253,0.1111726,0.7852665,0.0009505036,0.0002252463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281507,0.0001874079,0.01943398,0.04113035,0.0007418452,0.001819512,0.00001588112,0.00006919323,0.008451121],"genre_scores_gemma":[0.9936953,0.00003161124,0.004612915,0.0002518462,0.0001201137,0.0001140161,2.195593e-7,0.00001204492,0.00116198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3284804,"threshold_uncertainty_score":0.8202781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759336534207286,"score_gpt":0.3664287067688118,"score_spread":0.1904950533480833,"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."}}