{"id":"W2733875026","doi":"10.1108/whatt-04-2017-0018","title":"Human capital challenges in the events industry of Canada: finding innovative solutions","year":2017,"lang":"en","type":"article","venue":"Worldwide Hospitality and Tourism Themes","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oakville-Trafalgar Memorial Hospital; Toronto Metropolitan University; George Brown College; Niagara College","funders":"","keywords":"Certification; Human capital; Preparedness; Value (mathematics); Work (physics); Business; Originality; Public relations; Marketing; Economics; Engineering; Management; Political science; Sociology; Economic growth; Computer science; Qualitative research","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001155088,0.0001021507,0.0001754539,0.00005458072,0.001345068,0.00004792759,0.0004163047,0.0001136947,0.00003054714],"category_scores_gemma":[0.0003211477,0.0000805036,0.00003083721,0.000120892,0.0003227614,0.000269442,0.00008751799,0.0002922776,3.371722e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007394385,"about_ca_system_score_gemma":0.0003591481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3731032,"about_ca_topic_score_gemma":0.7562873,"domain_scores_codex":[0.9988643,0.00009688174,0.0002032671,0.0001545204,0.0003321292,0.0003489102],"domain_scores_gemma":[0.9992727,0.00006967092,0.0002412103,0.0002842016,0.00006320601,0.00006901681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006757852,0.0001741261,0.1863803,0.00002592453,0.00005570581,0.00003229645,0.06513632,0.000001114942,0.00001642792,0.7403522,0.002499628,0.005319282],"study_design_scores_gemma":[0.0002284754,0.00002414305,0.9248223,0.00007391888,0.000009530351,6.008474e-7,0.03540146,3.078236e-7,0.00004298068,0.0318823,0.007388015,0.0001259115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449344,0.0007239294,3.68998e-7,0.01296077,0.0001893254,0.0001867081,0.00001147374,0.000007940492,0.04098503],"genre_scores_gemma":[0.9984758,0.0001090396,0.000008053565,0.00007313649,0.000152772,0.00001119961,0.000002299313,0.000004802879,0.001162866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7384421,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08728319098224768,"score_gpt":0.3328082304658585,"score_spread":0.2455250394836108,"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."}}