{"id":"W7100990985","doi":"","title":"CANADIAN SPORTING EVENTS: AN ANALYSIS OF LEGACY AND SPORTS DEVELOPMENT","year":2016,"lang":"en","type":"article","venue":"","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Football; Sustainable development; Government (linguistics); Sustainability","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":[0.0009136804,0.0004389334,0.0004000377,0.01566758,0.004958303,0.002922471,0.001136846,0.00027687,0.004910012],"category_scores_gemma":[0.004010074,0.0002422462,0.0003921193,0.03588168,0.00108845,0.0008172006,0.002468334,0.0004298316,0.0002686752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03443281,"about_ca_system_score_gemma":0.03531329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992748,"about_ca_topic_score_gemma":0.9971317,"domain_scores_codex":[0.998676,0.00006176119,0.00005173774,0.0001087227,0.0007201686,0.0003815722],"domain_scores_gemma":[0.9966279,0.0002218377,0.000318791,0.000105613,0.002338221,0.000387705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001745161,0.00006790898,0.8060479,0.0005504088,0.0001531329,0.0006476599,0.04366107,0.000597338,0.0006881781,0.004833093,0.01211149,0.1304674],"study_design_scores_gemma":[0.000001449113,0.000008737517,0.9764876,0.00003551197,0.00002275286,0.00003483952,0.01303746,0.0001366223,0.00005478842,0.00006703413,0.0101023,0.00001070489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193836,0.002436319,0.0006764839,0.0006825115,0.00004474363,0.000318225,0.01772473,0.00005238849,0.05868103],"genre_scores_gemma":[0.9776155,0.002650328,0.001176094,0.00005985226,0.0000181692,0.0001166376,0.009484559,0.00002647037,0.008852333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03443281,"threshold_uncertainty_score":0.2498287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251932658036534,"score_gpt":0.3069714434566086,"score_spread":0.2844521168762433,"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."}}