{"id":"W4393242190","doi":"10.54097/hbem.v21i.14943","title":"Research on Organizing Strategies for the Olympic Games Based on the TOPSIS Method","year":2023,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Computer science; Operations research; Business; Advertising; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005325099,0.001600563,0.001056502,0.007763882,0.001611174,0.006180337,0.001530492,0.0007634872,0.004720663],"category_scores_gemma":[0.01003642,0.0005483985,0.001975228,0.01083176,0.001432166,0.004925859,0.001432458,0.001095968,0.0003238919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005155244,"about_ca_system_score_gemma":0.006736213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227551,"about_ca_topic_score_gemma":0.01179083,"domain_scores_codex":[0.9936778,0.003048842,0.0005399412,0.0005516397,0.001740993,0.0004408249],"domain_scores_gemma":[0.9962695,0.002042313,0.0003666977,0.0000890064,0.001033649,0.0001988177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001646886,0.0007123554,0.0583248,0.00366746,0.001301315,0.0009141461,0.01850664,0.1202249,0.00375245,0.3071819,0.005909597,0.4793398],"study_design_scores_gemma":[0.0001628018,0.0006222724,0.03996633,0.001065245,0.0008347924,0.0004559714,0.04493451,0.7336996,0.002661729,0.1558514,0.01952194,0.0002234431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2659314,0.001673127,0.6608498,0.00191538,0.0002257511,0.002565225,0.0002732185,0.0002528058,0.06631344],"genre_scores_gemma":[0.8344128,0.001449114,0.1598785,0.00007768248,0.00003755881,0.0009587412,0.0002572727,0.00002672835,0.002901486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227551,"threshold_uncertainty_score":0.03740412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101897445814282,"score_gpt":0.3652466801942826,"score_spread":0.2550569356128545,"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."}}