{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006885782,0.0001725767,0.000117244,0.0024068,0.003111804,0.001172653,0.0004237226,0.0002189033,0.006596211],"category_scores_gemma":[0.001662915,0.00009449162,0.0001638136,0.001797501,0.0008841563,0.0005782191,0.0009817703,0.0003324746,0.0002201871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006474814,"about_ca_system_score_gemma":0.009296713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5059029,"about_ca_topic_score_gemma":0.8278736,"domain_scores_codex":[0.9993095,0.00006043502,0.0000181972,0.00005752128,0.0001888208,0.0003655053],"domain_scores_gemma":[0.9989226,0.0001128147,0.0001269645,0.00002282897,0.0003034307,0.0005113578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002147883,0.0001323839,0.7512959,0.0002602305,0.00004267718,0.0007541683,0.08103555,0.000256677,0.003000811,0.01489729,0.00541352,0.142696],"study_design_scores_gemma":[0.00000594447,0.00005399774,0.9167755,0.0001440206,0.00002182845,0.0001431775,0.06643949,0.0002071754,0.0003460722,0.000377322,0.01546314,0.00002216482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658527,0.0004196008,0.0001933134,0.0003852134,0.00002122712,0.00002379078,0.0001231051,0.000007664609,0.0329735],"genre_scores_gemma":[0.9944956,0.0002612698,0.0001982175,0.00004640318,0.00000258059,0.000007607573,0.00006269991,0.000002546032,0.004922994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940971,"threshold_uncertainty_score":0.9940139,"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."}}