{"id":"W2912183271","doi":"10.1080/19407963.2019.1569433","title":"Reflections on major sport event volunteer legacy research","year":2019,"lang":"en","type":"article","venue":"Journal of Policy Research in Tourism Leisure and Events","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Event (particle physics); Volunteer; History; Sociology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01611198,0.0001359313,0.00036794,0.002299496,0.0005622342,0.0001591066,0.000524577,0.0002190875,0.0002211476],"category_scores_gemma":[0.0009056833,0.0001138707,0.0001419803,0.0018955,0.0002425424,0.00071241,0.0001191018,0.001911955,0.00021294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504199,"about_ca_system_score_gemma":0.002148408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022511,"about_ca_topic_score_gemma":0.001955319,"domain_scores_codex":[0.9943846,0.0007437547,0.0005495506,0.0002479125,0.002870333,0.001203816],"domain_scores_gemma":[0.9977803,0.000408883,0.0001759369,0.0002657115,0.0007340717,0.0006351015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002593212,0.003161254,0.4824095,0.0002196397,0.0003236169,0.001201915,0.04247832,0.0001111678,0.002243431,0.1493336,0.2920015,0.02392282],"study_design_scores_gemma":[0.001376729,0.000992773,0.1099435,0.0004739058,0.000007447614,0.00004066473,0.004025118,0.000003752364,0.0001666716,0.01775406,0.8650528,0.0001625618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134753,0.0002675438,0.00000136598,0.0160595,0.0004849091,0.0004306847,0.000002438354,0.000007519513,0.06927077],"genre_scores_gemma":[0.9656644,0.0008759077,0.0000385316,0.00009181957,0.002467565,0.000006786762,0.000001229383,0.00002109056,0.03083268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5730513,"threshold_uncertainty_score":0.9963659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2046015209942534,"score_gpt":0.5577664594109811,"score_spread":0.3531649384167278,"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."}}