{"id":"W2791103885","doi":"10.1108/ijsms-08-2017-0082","title":"Factors affecting the regional strategies for developing and advancing the Chinese sport industry","year":2018,"lang":"en","type":"article","venue":"International Journal of Sports Marketing and Sponsorship","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences; University of British Columbia","keywords":"China; Business; Affect (linguistics); Key (lock); Marketing; Political science; Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00176607,0.0003117753,0.0001788643,0.001193432,0.001677206,0.002598558,0.0005117371,0.000353226,0.00425222],"category_scores_gemma":[0.002397619,0.0001187352,0.0001857285,0.001265864,0.001200765,0.0008018463,0.001472438,0.000558242,0.0002871085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003816538,"about_ca_system_score_gemma":0.006991834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238848,"about_ca_topic_score_gemma":0.08898529,"domain_scores_codex":[0.9990013,0.0002743987,0.00005814509,0.00008297031,0.0001806518,0.0004024973],"domain_scores_gemma":[0.9981074,0.0002127605,0.0005224189,0.00004205554,0.0003853976,0.0007298862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470138,0.000366571,0.8023813,0.000573229,0.0001579915,0.00256463,0.03285208,0.003009562,0.006792915,0.04293266,0.005449803,0.1027722],"study_design_scores_gemma":[0.0000204986,0.0001288581,0.9213703,0.0001714962,0.00008289315,0.00017856,0.04605131,0.001432253,0.001178007,0.002575944,0.02677551,0.00003444334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534949,0.0007085389,0.0007216976,0.002282707,0.00001968646,0.000135934,0.00006481677,0.00001751529,0.04255424],"genre_scores_gemma":[0.9979029,0.0003287555,0.0003154653,0.000066223,0.000006177294,0.00001539567,0.00001849497,0.000001577792,0.001345015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238848,"threshold_uncertainty_score":0.0643999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04340507800844375,"score_gpt":0.3550984298311313,"score_spread":0.3116933518226876,"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."}}