{"id":"W4226268807","doi":"10.1504/ijsmm.2022.121256","title":"On-site sponsorship leveraging patterns of TOP and domestic programmes: the case of 2018 PyeongChang Winter Games","year":2022,"lang":"en","type":"article","venue":"International Journal of Sport Management and Marketing","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Advertising; Key (lock); Focus (optics); Representation (politics); Marketing; Business; Geography; Political science; Computer science","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":[0.001263397,0.000188356,0.0001890886,0.002112506,0.001503803,0.00177231,0.0004357362,0.0003172084,0.003682579],"category_scores_gemma":[0.003514496,0.0001968201,0.000141605,0.002135519,0.0009128076,0.001464923,0.002179077,0.0005852702,0.0002585935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005634,"about_ca_system_score_gemma":0.0007415758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009038088,"about_ca_topic_score_gemma":0.03312359,"domain_scores_codex":[0.9990151,0.0004182315,0.00004489149,0.000130724,0.0001803508,0.0002107373],"domain_scores_gemma":[0.9967117,0.0009591453,0.0009918865,0.0002931161,0.0003183788,0.0007256567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001435665,0.0002761472,0.7742367,0.0001758031,0.00004619987,0.002877052,0.1232672,0.0003592003,0.002814995,0.002262903,0.002219306,0.09132088],"study_design_scores_gemma":[0.000004552422,0.0001025147,0.822072,0.00007088426,0.00001170902,0.0005600787,0.1623691,0.0003942721,0.0003133618,0.000301516,0.0137791,0.00002083504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943159,0.00006932683,0.0002778778,0.0000833008,0.000005915184,0.00003239216,0.00006670244,0.000006711224,0.005141802],"genre_scores_gemma":[0.9975451,0.00007607348,0.0004216769,0.00001262939,0.000005479892,0.00002328198,0.00009778514,0.000007395199,0.001810605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009038088,"threshold_uncertainty_score":0.01797098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003444222717463,"score_gpt":0.3028191355963582,"score_spread":0.2827846933691835,"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."}}