{"id":"W2390647452","doi":"","title":"Contrast Analysis of Chinese Short Track Speed Skating Women Team's Result and Korean Team's One","year":2008,"lang":"en","type":"article","venue":"China Winter Sports","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speed skating; World championship; Government (linguistics); Advertising; Championship; Contrast (vision); Psychology; Applied psychology; Management; Marketing; Business; Computer science; Simulation; Artificial intelligence; Economics","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":[0.0007639622,0.0002209223,0.0002524189,0.002283142,0.0005282865,0.000597073,0.0002337475,0.0002631452,0.003928126],"category_scores_gemma":[0.002217337,0.00007391824,0.0003943733,0.001121837,0.0004012207,0.0003539348,0.0004410124,0.0002119492,0.0003534108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219655,"about_ca_system_score_gemma":0.0005943077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006089,"about_ca_topic_score_gemma":0.01437271,"domain_scores_codex":[0.9992892,0.00005525454,0.00007997965,0.0001274901,0.0002348785,0.000213267],"domain_scores_gemma":[0.998445,0.0003186235,0.0001939614,0.0000627249,0.0006645316,0.0003152062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001202233,0.0001390903,0.9595414,0.0001604406,0.0001906329,0.0008456914,0.003085196,0.0002740657,0.005478317,0.0007280321,0.001574667,0.0267802],"study_design_scores_gemma":[0.000008672832,0.000152924,0.9963003,0.000007372797,0.0000572916,0.0002742768,0.001457459,0.0003181736,0.0007448595,0.00005964245,0.0006095924,0.000009309801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954047,0.00009178162,0.0001759167,0.00004453342,0.00002442335,0.000010222,0.0001983871,0.00001047037,0.004039574],"genre_scores_gemma":[0.9987792,0.00002865999,0.00006877731,0.00001121537,0.000007618347,0.000005957851,0.0002166189,0.000004893835,0.0008770413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006089,"threshold_uncertainty_score":0.02000463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009689279280117806,"score_gpt":0.2524998763556112,"score_spread":0.2428105970754934,"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."}}