{"id":"W3145073320","doi":"10.20592/jaeg.66.1_73","title":"Challenges to the Regeneration of Olympic Legacies: Case Studies of the Olympic Stadiums in Montreal and Sydney","year":2020,"lang":"en","type":"article","venue":"Keizai chirigaku nenpo/Keizai chirigaku nempō","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Regeneration (biology); Political science; Urban regeneration; History; Geography; Environmental planning; Biology","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":[0.001400094,0.0006362334,0.0003529325,0.00143637,0.0179993,0.004495248,0.002652671,0.001654121,0.006190578],"category_scores_gemma":[0.002521181,0.0004085203,0.0003476145,0.002897007,0.007738093,0.001155401,0.005159687,0.00185994,0.0003068425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03594049,"about_ca_system_score_gemma":0.03361307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8647059,"about_ca_topic_score_gemma":0.9826759,"domain_scores_codex":[0.9983495,0.0005518859,0.00002448294,0.00007180157,0.0001965736,0.0008056228],"domain_scores_gemma":[0.9986243,0.0002242802,0.000151431,0.00004241498,0.0002174945,0.0007400426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002902624,0.0009670529,0.1386943,0.001020572,0.0002093055,0.04179354,0.6550642,0.005837401,0.003781081,0.0373499,0.02583059,0.08916181],"study_design_scores_gemma":[0.00002091261,0.0001820715,0.09643427,0.000297855,0.00003480073,0.0009806991,0.8341681,0.0005635428,0.0003571259,0.0009903803,0.06593154,0.00003866321],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605405,0.0007619562,0.0004105828,0.004110302,0.00005992203,0.0002352847,0.0001877344,0.00001733094,0.03367638],"genre_scores_gemma":[0.9873936,0.0008660529,0.0005373607,0.0002273721,0.00001890134,0.00006092582,0.00006249294,0.00001037857,0.01082284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352941,"threshold_uncertainty_score":0.2721817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08504506656973641,"score_gpt":0.3294557093878068,"score_spread":0.2444106428180704,"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."}}