{"id":"W4230079453","doi":"10.1108/oxan-db246454","title":"Japan will increase soft power through Rugby World Cup","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tournament; Soft power; Quarter (Canadian coin); Tourism; Advertising; Political science; Business; Geography; China; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007149418,0.0006639501,0.0001638336,0.0008887165,0.001670621,0.002752155,0.0003442228,0.001408006,0.173209],"category_scores_gemma":[0.001173703,0.0001309158,0.000342361,0.0006029673,0.0005173555,0.001151904,0.001983988,0.001222045,0.0357453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136309,"about_ca_system_score_gemma":0.001877565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01845125,"about_ca_topic_score_gemma":0.0651722,"domain_scores_codex":[0.9996384,0.00004729149,0.00001354157,0.00003502961,0.0001183031,0.0001472835],"domain_scores_gemma":[0.9990896,0.00004464196,0.00003889699,0.00003229007,0.0003283892,0.0004662165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009473175,0.0001303526,0.00191742,0.000335813,0.000008744638,0.0001186281,0.0003373706,0.00006743822,0.0007540456,0.003562366,0.9168409,0.07583223],"study_design_scores_gemma":[0.00001158816,0.00007229996,0.01196394,0.0001331759,0.000006567464,0.00003254333,0.0007610306,0.0000448311,0.0001974162,0.0003845241,0.9863847,0.000007419023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01646377,0.003723956,0.0006146785,0.03225441,0.01263644,0.0002401554,0.003716304,0.0006728872,0.9296775],"genre_scores_gemma":[0.05234453,0.004252605,0.001331716,0.005005893,0.002362469,0.0001473007,0.003022276,0.0002385836,0.9312947],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.173209,"threshold_uncertainty_score":0.5794418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020532783848976,"score_gpt":0.3094757439931308,"score_spread":0.2889429601441548,"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."}}