{"id":"W2385943172","doi":"","title":"Comparative Study on Tennis Coaches Training and Certification System between China and Canada","year":2013,"lang":"en","type":"article","venue":"Bulletin of Sport Science & Technology","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Coaching; Training (meteorology); Incentive; China; Government (linguistics); Management system; Training system; Athletes; Business; Medical education; Marketing; Psychology; Operations management; Management; Engineering; Political science; Medicine; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538994,0.00009766799,0.0003832193,0.0003777216,0.0001830366,0.00003150691,0.000218823,0.00004929208,0.0000379722],"category_scores_gemma":[0.00001234472,0.00009371122,0.00001032105,0.0003204926,0.0004910317,0.00004337087,0.00005954456,0.0001024379,0.00001320167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006478989,"about_ca_system_score_gemma":0.00005188737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.133474,"about_ca_topic_score_gemma":0.002892131,"domain_scores_codex":[0.9989796,9.328016e-7,0.0003933357,0.0003639947,0.000063302,0.0001988279],"domain_scores_gemma":[0.9993553,0.000008731434,0.000307876,0.000228784,0.0000435656,0.00005580105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001220035,0.00002295338,0.9767889,0.000008628003,0.000008775296,0.000001112914,0.00048469,0.0000138491,0.000009874518,0.02196717,0.0001001502,0.0005926588],"study_design_scores_gemma":[0.0001331,0.0001575629,0.9827101,0.00001648131,0.000004622363,0.000004027509,0.008115816,0.000621573,0.0001471645,0.0002821672,0.007689919,0.0001175298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946799,0.0001305504,0.00001855223,0.001685918,0.00004803495,0.0002598464,0.00001050961,0.00002109019,0.003145548],"genre_scores_gemma":[0.999715,0.00001273116,0.0001079651,0.00002071183,0.00001184038,0.00002020291,0.000001528077,0.000004566803,0.000105447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305819,"threshold_uncertainty_score":0.8722963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454754432977938,"score_gpt":0.2256371001759614,"score_spread":0.181089555846182,"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."}}