{"id":"W1712401450","doi":"10.3968/j.hess.1927024020140601.4016","title":"Experimental Study on Chinese Athletes' Physical Distribution in Sanda Competition","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"American Sports and Literature","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversary; Competition (biology); Athletes; Counterattack; Psychology; Distribution (mathematics); Computer science; Computer security; Mathematics; Political science; Physical therapy; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001207917,0.00006376997,0.00009750008,0.00004329713,0.0002365811,0.00006465486,0.0000962626,0.000009982537,0.0004793859],"category_scores_gemma":[0.000005800709,0.00004987697,0.00002429598,0.0001378243,0.0004620103,0.0001757383,0.00001373657,0.00005726995,0.000006794617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006897606,"about_ca_system_score_gemma":0.00005112928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001446181,"about_ca_topic_score_gemma":0.000003889289,"domain_scores_codex":[0.9993934,0.00002553554,0.0001017923,0.0001472667,0.00023553,0.00009648395],"domain_scores_gemma":[0.9997456,0.00001263481,0.00007651097,0.00006717221,0.00007056548,0.00002752327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000875672,0.001801778,0.0031174,0.000002090828,8.495813e-7,5.581985e-8,0.06557668,5.101878e-7,0.0006595953,0.9279008,0.0005150208,0.0004164976],"study_design_scores_gemma":[0.0002099624,0.0003413928,0.8830003,0.00001737765,0.000002904595,6.576825e-8,0.01290166,0.000009299279,0.0001458594,0.0003776153,0.1028824,0.0001111499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8721532,0.00000689919,0.000001115485,0.0001096783,0.0004907059,0.00009670289,0.00000793783,0.00001024197,0.1271235],"genre_scores_gemma":[0.9963779,5.983269e-8,0.000002211597,0.000134244,0.0008321071,0.00001794858,0.00002305034,0.000003035476,0.002609449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9275231,"threshold_uncertainty_score":0.5248939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142731281587311,"score_gpt":0.2983427161873213,"score_spread":0.2869154033714482,"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."}}