{"id":"W4233573479","doi":"10.32920/ryerson.14658216","title":"What Will the Legacy of the Pan American and Parapan Games 2015 be for Toronto? Looking at Past Successes and Failures to Inform Toronto's Experience","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Neighbourhood (mathematics); Work (physics); Geography; Political science; American west; Sociology; Engineering; Ethnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008706531,0.0002908405,0.0002981815,0.0006056187,0.01431703,0.008210878,0.0008606288,0.0008944009,0.008023994],"category_scores_gemma":[0.002164696,0.0002177158,0.0002242671,0.001706046,0.006384989,0.002156757,0.003667761,0.001489807,0.0004698157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0349294,"about_ca_system_score_gemma":0.02565155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8897619,"about_ca_topic_score_gemma":0.9746459,"domain_scores_codex":[0.9989693,0.0002199249,0.00002117917,0.00009006946,0.0002267888,0.0004727435],"domain_scores_gemma":[0.9981689,0.0001827711,0.0001594725,0.00005466186,0.0003621244,0.001072115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001570413,0.0000614159,0.1310812,0.0006146415,0.00007652924,0.005093082,0.7262954,0.0005105541,0.001775027,0.03077998,0.05189247,0.05166271],"study_design_scores_gemma":[0.000002930258,0.00005838603,0.08649386,0.0002433172,0.00002423377,0.0003336034,0.7873083,0.00009913062,0.0002424069,0.0007246319,0.1244255,0.00004369173],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880383,0.002587149,0.0006314598,0.02080147,0.0003765146,0.00004991489,0.0009113092,0.00004598401,0.09421317],"genre_scores_gemma":[0.9845067,0.001438118,0.0002277091,0.0005224547,0.00002595654,0.00001507019,0.0001806262,0.00001640121,0.0130671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102381,"threshold_uncertainty_score":0.2534317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654914681644548,"score_gpt":0.3523541238477529,"score_spread":0.3258049770313074,"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."}}