{"id":"W4238730359","doi":"10.23912/978-1-911396-91-8-4203","title":"Introduction","year":2019,"lang":"en","type":"book-chapter","venue":"Goodfellow Publishers eBooks","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Portfolio; Destinations; Welsh; Tourism; Cabinet (room); Appeal; Government (linguistics); Event (particle physics); Geography; Business; Marketing; Political science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001634927,0.0009073404,0.0005751898,0.001294652,0.002583934,0.00758965,0.0022613,0.003224881,0.4708416],"category_scores_gemma":[0.005710094,0.0003313971,0.0006552275,0.001598688,0.0015002,0.004467557,0.004770753,0.002348632,0.2810391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502182,"about_ca_system_score_gemma":0.003781331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005018537,"about_ca_topic_score_gemma":0.005515257,"domain_scores_codex":[0.9977576,0.0003118785,0.0001187085,0.0005671499,0.0009536275,0.0002909509],"domain_scores_gemma":[0.997531,0.0003371464,0.0001402919,0.000339214,0.00112938,0.0005230242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001197623,0.0000969586,0.001453715,0.0004504492,0.00001097907,0.0003287116,0.001272138,0.0002130482,0.0007822256,0.06762198,0.668641,0.259009],"study_design_scores_gemma":[0.000003848773,0.00001815233,0.0004793442,0.0001313797,0.000002371481,0.0001296876,0.0003059224,0.0000382645,0.00009524019,0.003914966,0.9948749,0.000006040585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002643564,0.0036294,0.006120774,0.009561996,0.005198636,0.0002486794,0.003324594,0.001072942,0.9681994],"genre_scores_gemma":[0.02332044,0.004359822,0.004473703,0.005740344,0.001419788,0.0002643076,0.004867624,0.000545653,0.9550084],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5291584,"threshold_uncertainty_score":0.7547802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254020204885436,"score_gpt":0.2550110470462672,"score_spread":0.2296090265577236,"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."}}