{"id":"W4412088295","doi":"10.3390/pr13072162","title":"Intelligent Kick Warning Model Based on Machine Learning","year":2025,"lang":"en","type":"article","venue":"Processes","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Warning system; Artificial intelligence; Machine learning; Telecommunications","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":[0.0006656455,0.0008430161,0.0008975553,0.0006836717,0.0004467101,0.0008646783,0.001023405,0.0008132724,0.001883943],"category_scores_gemma":[0.001327631,0.000326921,0.0006319342,0.0003782144,0.0003064893,0.0008499472,0.0004695211,0.0009601772,0.000370707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630392,"about_ca_system_score_gemma":0.000904242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234595,"about_ca_topic_score_gemma":0.007122443,"domain_scores_codex":[0.9996823,0.00004677768,0.00002558391,0.0001034572,0.00007675253,0.00006513274],"domain_scores_gemma":[0.9995354,0.0001776569,0.0000662824,0.00001307347,0.0001866774,0.00002086888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001436368,0.000085829,0.002416941,0.00006168686,0.00004614135,0.0001036313,0.00006224198,0.9416733,0.001981252,0.001209635,0.0007824685,0.05143328],"study_design_scores_gemma":[0.000003035023,0.00001767986,0.0002842363,0.000002914403,0.000006478317,0.000008334752,0.000003103369,0.9991386,0.0002198921,0.0002454698,0.0000666687,0.000003660127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1449398,0.0007797266,0.8448837,0.0004335851,0.0001749489,0.0001374003,0.0001904924,0.001974307,0.006486027],"genre_scores_gemma":[0.9792113,0.0001791308,0.01690282,0.00006590998,0.00002402905,0.000132375,0.0001325327,0.00002352869,0.003328402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234595,"threshold_uncertainty_score":0.02454817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531075836517339,"score_gpt":0.2926025094092136,"score_spread":0.2772917510440402,"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."}}