{"id":"W4411801324","doi":"10.3389/fspor.2025.1627820","title":"Performance tracking in female youth soccer through wearables and subjective assessments","year":2025,"lang":"en","type":"article","venue":"Frontiers in Sports and Active Living","topic":"Sports Performance and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Percentile; Wearable computer; Inertial measurement unit; Likert scale; Happiness; Psychology; Computer science; Applied psychology; Artificial intelligence; Statistics; Mathematics; Developmental psychology; Social psychology","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":[0.000633885,0.0006099859,0.0003867853,0.0006636347,0.000157994,0.000637051,0.0002607146,0.00028972,0.001581216],"category_scores_gemma":[0.001838377,0.0001632183,0.0002746657,0.0005494323,0.0001646209,0.0003466633,0.0005912421,0.0001885317,0.0007271157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154633,"about_ca_system_score_gemma":0.0001315034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460047,"about_ca_topic_score_gemma":0.003917945,"domain_scores_codex":[0.999464,0.0001333659,0.00004108141,0.0001482643,0.0001488366,0.0000645338],"domain_scores_gemma":[0.9993047,0.00009908453,0.0002717279,0.00004261516,0.0002210659,0.00006077555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007938468,0.0003045556,0.7812813,0.000637261,0.0002148219,0.0003531347,0.001425186,0.001464675,0.04415624,0.0001961404,0.001369058,0.1678037],"study_design_scores_gemma":[0.000009736744,0.0008087548,0.9849702,0.0001221698,0.00008626898,0.0005949569,0.001088437,0.003832534,0.006222819,0.0001433949,0.002096462,0.00002421312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793153,0.0005259279,0.01567784,0.0000827237,0.00004737935,0.00007405015,0.00117272,0.0001060893,0.002997926],"genre_scores_gemma":[0.9905252,0.0004213497,0.006490594,0.00006996356,0.00004689907,0.0001210787,0.0008212195,0.00002101956,0.001482777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001581216,"threshold_uncertainty_score":0.005289733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826551657431243,"score_gpt":0.2966803460887464,"score_spread":0.278414829514434,"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."}}