{"id":"W62832874","doi":"","title":"Improving the Bidding Process for International Sporting Events","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Bidding; Transparency (behavior); Business; Process (computing); Competition (biology); Language change; Marketing; Economics; Industrial organization; Political science; Computer science; Law","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":[0.05903129,0.0008932137,0.0005747903,0.002655757,0.005576471,0.01163411,0.002572429,0.002700228,0.03391386],"category_scores_gemma":[0.1146018,0.0009895359,0.0008340596,0.002611457,0.002388201,0.008889625,0.005048843,0.005526096,0.01298429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005308991,"about_ca_system_score_gemma":0.01196859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005083034,"about_ca_topic_score_gemma":0.007528848,"domain_scores_codex":[0.9587598,0.02426512,0.002657671,0.001797711,0.009427499,0.003092163],"domain_scores_gemma":[0.8822941,0.05758231,0.01050142,0.01442805,0.0263033,0.008890778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000742586,0.002904478,0.01566564,0.001008563,0.00007195846,0.0009619478,0.02997973,0.01718082,0.01165341,0.2191148,0.1700045,0.5307115],"study_design_scores_gemma":[0.0007252017,0.002202444,0.0520516,0.001430833,0.0001643955,0.0009579759,0.02574021,0.03754207,0.01362142,0.1182036,0.7464949,0.0008654273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1312826,0.0009794744,0.3814065,0.03221238,0.00196567,0.01201192,0.0004278574,0.002996803,0.4367169],"genre_scores_gemma":[0.6010886,0.001160535,0.3034856,0.003909601,0.0008920819,0.003180712,0.0009349773,0.001391483,0.08395644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05903129,"threshold_uncertainty_score":0.3121911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323585307125832,"score_gpt":0.3359548084094165,"score_spread":0.2927189553381582,"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."}}