{"id":"W7144345618","doi":"10.71465/ajainn646","title":"Neural Networks for Real-Time Sports Analytics and Performance Prediction","year":2024,"lang":"","type":"article","venue":"American Journal of Artificial Intelligence and Neural Networks","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"U SPORTS","funders":"","keywords":"Analytics; Artificial neural network; Biometrics; Performance prediction; Deep neural networks","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080503,0.0008764844,0.0006124428,0.0008226873,0.0002790813,0.001237446,0.0009182676,0.001026799,0.001809631],"category_scores_gemma":[0.004029733,0.00030404,0.0004585832,0.001224412,0.0005043487,0.001228191,0.0007207704,0.001787651,0.0006024529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009354781,"about_ca_system_score_gemma":0.0006723503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025919,"about_ca_topic_score_gemma":0.007923231,"domain_scores_codex":[0.9994767,0.0001565137,0.00004517298,0.0001328103,0.0001473866,0.00004138583],"domain_scores_gemma":[0.9988808,0.0006760624,0.0001371019,0.00008815443,0.0001904177,0.00002750474],"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":[0.0001270313,0.00009944764,0.004136946,0.0002664079,0.0001675388,0.0001222014,0.00006751333,0.6878757,0.002596608,0.03262396,0.007103097,0.2648136],"study_design_scores_gemma":[0.000003601864,0.00001508488,0.0006542361,0.00002739246,0.00001218425,0.00001520776,0.00001195939,0.9803633,0.0004386003,0.01629276,0.002155366,0.00001038286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02035826,0.01134598,0.9552791,0.002516252,0.0003808524,0.00006606474,0.0008462192,0.001200921,0.008006508],"genre_scores_gemma":[0.7936286,0.01117893,0.1808712,0.0005998548,0.0006750813,0.0002991685,0.00148227,0.0001427962,0.01112206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01025919,"threshold_uncertainty_score":0.02039891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980748683372683,"score_gpt":0.2922779026253368,"score_spread":0.26247041579161,"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."}}