{"id":"W4387412085","doi":"10.2478/ijcss-2023-0011","title":"A comparison of tournament systems for the men’s World Handball Championship","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Science in Sport","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tournament; Championship; Ninth; Ranking (information retrieval); Quarter (Canadian coin); World championship; Operations management; Operations research; Mathematics; Advertising; Engineering; Computer science; Geography; Artificial intelligence; Business; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002571764,0.0000651095,0.0002743143,0.0008619434,0.00005728635,0.0001275659,0.0009153772,0.0000168892,0.00002435978],"category_scores_gemma":[0.00002546399,0.00005023607,0.0001014478,0.0005436186,0.0001000417,0.0002482,0.00007605837,0.0001085122,0.000006752262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215153,"about_ca_system_score_gemma":0.00008252028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000788306,"about_ca_topic_score_gemma":0.00001745232,"domain_scores_codex":[0.998516,0.000001904456,0.0009701432,0.0001250357,0.0002305089,0.0001564185],"domain_scores_gemma":[0.9985601,0.00007900068,0.0009022606,0.0001274546,0.0002861285,0.00004504128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002759018,0.00007204421,0.8292094,0.000008443452,0.00003844745,0.00001030106,0.0008168665,0.1246107,0.00000444125,0.04056453,0.002983842,0.001653305],"study_design_scores_gemma":[0.0003150555,0.00005721398,0.2974586,0.00007879509,0.000002732304,0.0000133364,0.0001052087,0.6720349,0.00002668387,0.001149102,0.02869653,0.00006180185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266526,0.001121196,0.06041981,0.002605011,0.008022761,0.0002156087,0.00002346808,0.000007257346,0.0009323116],"genre_scores_gemma":[0.9986321,0.0002203279,0.0004412842,0.00006206732,0.0003786408,0.000004852297,0.000001396555,0.000004372027,0.0002549453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5474242,"threshold_uncertainty_score":0.2048567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08602729155572227,"score_gpt":0.3337320271859173,"score_spread":0.2477047356301951,"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."}}