{"id":"W4400997005","doi":"10.1111/sms.14706","title":"From Novice to Expert: How Expertise Shapes Motor Variability in Sports Biomechanics—a Scoping Review","year":2024,"lang":"en","type":"article","venue":"Scandinavian Journal of Medicine and Science in Sports","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomechanics; Sports biomechanics; Physical medicine and rehabilitation; Computer science; Psychology; Cognitive psychology; Data science; Human–computer interaction; Simulation; Medicine; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003975534,0.0001680917,0.0004865628,0.0007244923,0.00007697799,0.0000836109,0.0003246961,0.000042109,0.0001906563],"category_scores_gemma":[0.002563643,0.0001170984,0.00004852379,0.001582746,0.0002601241,0.0008375848,0.00005308295,0.0002316873,9.078224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131188,"about_ca_system_score_gemma":0.0003284015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000994182,"about_ca_topic_score_gemma":0.00002116637,"domain_scores_codex":[0.9972814,0.0001009447,0.0007104312,0.0005313613,0.001045605,0.0003302081],"domain_scores_gemma":[0.9989105,0.0002387036,0.0002064731,0.0001684267,0.00007956786,0.0003963595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001807404,0.0001169396,0.004722364,0.0009882977,0.000001932365,0.004574625,0.01170851,0.00001103167,0.5068963,0.000171368,0.0002771503,0.4703507],"study_design_scores_gemma":[0.004747643,0.00269615,0.09892725,0.8310956,0.0001134216,0.00213044,0.00561287,0.02585127,0.01249915,0.0114747,0.003184141,0.001667346],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653479,0.01409992,0.00120454,0.01709486,0.001469271,0.0006255003,0.000003975649,0.00001733289,0.0001366929],"genre_scores_gemma":[0.9904103,0.006628815,0.0002356398,0.002364099,0.0003160698,0.00001129585,2.90275e-7,0.000008237183,0.00002523107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8301073,"threshold_uncertainty_score":0.4775133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396091613289619,"score_gpt":0.3276643458067143,"score_spread":0.2880551844777524,"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."}}