{"id":"W831572550","doi":"","title":"MUNICIPALITIES AND THE MEGA-EVENT","year":2012,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mega-; Event (particle physics); Megacity; Geography; Economy; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004713805,0.000225748,0.0003187613,0.000100629,0.0007026485,0.0000991368,0.0004330774,0.0002771135,0.05791312],"category_scores_gemma":[0.00004201166,0.0001864111,0.0001560691,0.0002898469,0.0003543334,0.0003329202,0.00006811116,0.0002813898,0.00004293525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336011,"about_ca_system_score_gemma":0.0002053463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008649708,"about_ca_topic_score_gemma":0.05256099,"domain_scores_codex":[0.9985396,0.0002619118,0.0001474015,0.0002206323,0.0003720429,0.0004584134],"domain_scores_gemma":[0.9991919,0.0001263146,0.0001950729,0.0002026366,0.0000721961,0.0002118468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006835146,0.00006378094,0.0007303287,0.0001064612,0.0002299537,0.00005140594,0.1339427,0.000002494363,0.000009019959,0.6461819,0.002857216,0.2151413],"study_design_scores_gemma":[0.0007879005,0.00001169921,0.0009478846,0.00007450765,0.0002211125,0.000001181147,0.07564875,0.000001700591,0.00001217237,0.000400384,0.9216753,0.000217411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1035528,0.001382395,0.000003710835,0.0003393273,0.0008630785,0.0003651041,0.000008610083,0.00005980748,0.8934252],"genre_scores_gemma":[0.272983,0.0004671784,0.00001372582,0.00006422243,0.0002198927,0.000001253639,0.00004804385,0.00001645268,0.7261863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9188181,"threshold_uncertainty_score":0.9979518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409847616054363,"score_gpt":0.2603064127224734,"score_spread":0.2362079365619298,"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."}}