{"id":"W2389136869","doi":"","title":"Training LTAD Mode and Inspiration of Canadian Curling Reserve Talents","year":2013,"lang":"en","type":"article","venue":"China Winter Sports","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curling; Promotion (chess); Training (meteorology); Vocational education; Training system; Mode (computer interface); Government (linguistics); China; Psychology; Computer science; Pedagogy; Political science; Engineering; Geography","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":[0.0001059924,0.000118245,0.0002291201,0.0003053521,0.00005355716,0.0000197746,0.00006001904,0.00006375546,0.0005301476],"category_scores_gemma":[0.00001526831,0.0001012778,0.00004964869,0.000138693,0.0000575855,0.0002770255,0.0000266461,0.0001472867,0.000006654142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003111886,"about_ca_system_score_gemma":0.00008333397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05678455,"about_ca_topic_score_gemma":0.01032005,"domain_scores_codex":[0.9991419,0.000004329713,0.000302381,0.0001797321,0.0001486087,0.0002229908],"domain_scores_gemma":[0.99939,0.000003522397,0.00009699251,0.0002217763,0.0000658924,0.0002217926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007683594,0.00005420672,0.9136617,0.0002603835,0.00005736094,0.00008349701,0.02161528,0.00002888588,0.001440599,0.0001738303,0.0037064,0.05884098],"study_design_scores_gemma":[0.0004606021,0.0002016755,0.978052,0.0007043688,0.00003122932,0.00009551493,0.000600585,0.001786345,0.001815801,0.0001833784,0.01590905,0.0001594814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854099,0.0001444033,0.00005164731,0.0006693471,0.0002542933,0.0002291597,0.000007011261,0.00001894333,0.01321533],"genre_scores_gemma":[0.9975837,0.00004901389,0.0005923577,0.0003079293,0.0001507817,0.000008921388,0.00003175462,0.00001735117,0.001258183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06439023,"threshold_uncertainty_score":0.9494964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360890653144807,"score_gpt":0.2639502258875771,"score_spread":0.240341319356129,"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."}}