{"id":"W4398185168","doi":"10.1016/j.bjpt.2024.101083","title":"Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives","year":2024,"lang":"en","type":"article","venue":"Brazilian Journal of Physical Therapy","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Health care; Artificial intelligence; Resource (disambiguation); Data science; Knowledge management","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":[0.00908205,0.0007821118,0.001613226,0.002653075,0.0009575325,0.008930596,0.00225481,0.003964644,0.00659345],"category_scores_gemma":[0.006068436,0.0002800299,0.00079328,0.003205462,0.006345688,0.007896272,0.002581923,0.004905948,0.001273196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002809648,"about_ca_system_score_gemma":0.006101647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648971,"about_ca_topic_score_gemma":0.005871645,"domain_scores_codex":[0.9978814,0.001119167,0.0001332359,0.0001979018,0.0004734013,0.0001948137],"domain_scores_gemma":[0.9875805,0.009242723,0.0004711352,0.0003652889,0.001616434,0.0007238744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001992448,0.0005578172,0.005071191,0.004557428,0.0001503902,0.0002937996,0.001326578,0.003585437,0.00060953,0.3968452,0.02065849,0.5661449],"study_design_scores_gemma":[0.00005739261,0.000287281,0.004989094,0.007912469,0.00008949194,0.0008127554,0.006404698,0.01110562,0.0004718078,0.673113,0.2946468,0.000109486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005243691,0.8133792,0.02076971,0.130153,0.002105276,0.00005650987,0.00008432032,0.00007403881,0.02813416],"genre_scores_gemma":[0.1068661,0.8329292,0.03499422,0.01150152,0.008269029,0.0002098149,0.0001242508,0.00003935818,0.005066469],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00908205,"threshold_uncertainty_score":0.04803103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672952563474384,"score_gpt":0.400572109752153,"score_spread":0.2332768534047145,"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."}}