{"id":"W4414072417","doi":"10.3727/152599525x17525390697562","title":"Exploring Experiences in Event Management Under Uncertainty: The Four “Knowns” Framework","year":2025,"lang":"en","type":"article","venue":"Event Management","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Event (particle physics); Event management; Grounded theory; Key (lock); Event data; Conceptual model","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":[],"consensus_categories":[],"category_scores_codex":[0.01491445,0.0007237059,0.0005107141,0.002033875,0.009670499,0.0123092,0.001873283,0.003122526,0.003692628],"category_scores_gemma":[0.03470311,0.0006053601,0.0005440149,0.001246777,0.02520746,0.01727143,0.0129981,0.004863248,0.0002542759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004392849,"about_ca_system_score_gemma":0.002544966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00282323,"about_ca_topic_score_gemma":0.003095708,"domain_scores_codex":[0.9720791,0.02333275,0.0006366929,0.0009948807,0.001631181,0.001325544],"domain_scores_gemma":[0.9742799,0.01947452,0.002527806,0.001197879,0.0009061807,0.00161374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007682632,0.00003355042,0.004163099,0.0002012282,0.00002369169,0.0006804751,0.9312154,0.0003414684,0.0003718781,0.05180172,0.001207506,0.009883152],"study_design_scores_gemma":[0.000007785989,0.00005697369,0.001488065,0.000244223,0.0000132208,0.0002927039,0.9488815,0.0005626018,0.000169511,0.02308027,0.02516378,0.0000393448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559924,0.00266526,0.03906169,0.02652009,0.0004166443,0.0001526089,0.0001299042,0.00007426465,0.07498708],"genre_scores_gemma":[0.9967495,0.0003347825,0.001485285,0.0004442251,0.00004976648,0.00003239964,0.00002583472,0.00001674591,0.0008613709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01491445,"threshold_uncertainty_score":0.07887614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0887691764111735,"score_gpt":0.2626536092879228,"score_spread":0.1738844328767493,"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."}}