{"id":"W3037427830","doi":"10.69554/lnyc1064","title":"Esport sponsorship: Practitioners’ perspectives on emerging trends","year":2020,"lang":"en","type":"article","venue":"Journal of brand strategy","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Mount Royal University","funders":"","keywords":"Business; Data 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":[0.03701816,0.0004404129,0.0004079935,0.003797934,0.006530975,0.01020788,0.001477164,0.004267756,0.003475683],"category_scores_gemma":[0.03047099,0.0003757401,0.0003609858,0.004233286,0.01039127,0.01324262,0.007198124,0.005391725,0.0002272894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005373437,"about_ca_system_score_gemma":0.00715623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398281,"about_ca_topic_score_gemma":0.008536021,"domain_scores_codex":[0.9840019,0.01055781,0.0007098392,0.001011666,0.002092995,0.001625875],"domain_scores_gemma":[0.9610639,0.02681825,0.002514915,0.0007741879,0.006075776,0.002753008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003594644,0.00006092245,0.01377617,0.0002945159,0.00001029191,0.001171972,0.9126291,0.0001071605,0.0006231299,0.0332665,0.003546588,0.03447767],"study_design_scores_gemma":[0.000002737413,0.00002589863,0.001588684,0.0002360135,0.000003029144,0.0002253238,0.9754043,0.0001222384,0.00009102446,0.003295823,0.01899649,0.000008506234],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8054623,0.009824294,0.008571794,0.1176113,0.001122224,0.00008895465,0.00007224545,0.00005529138,0.05719147],"genre_scores_gemma":[0.9892538,0.00381024,0.001405701,0.002942372,0.0001344878,0.0000407539,0.0000286168,0.00001442804,0.002369601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03701816,"threshold_uncertainty_score":0.1957731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564482338286897,"score_gpt":0.3407211989601505,"score_spread":0.2850763755772815,"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."}}