{"id":"W2512532091","doi":"10.1080/02640414.2016.1221523","title":"Principal components analysis to characterise fatigue-related changes in technique: Application to double under jump rope","year":2016,"lang":"en","type":"article","venue":"Journal of Sports Sciences","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physical medicine and rehabilitation; Kinematics; Elbow; Jump; Physical therapy; Wrist; Rope; Muscular fatigue; Computer science; Simulation; Medicine; Structural engineering; Engineering; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002709928,0.0009490462,0.000644644,0.002521357,0.0004326926,0.0007816658,0.0003153242,0.0004446079,0.002160626],"category_scores_gemma":[0.005565163,0.0002588498,0.0008463604,0.002363517,0.000325704,0.0004131906,0.0004857999,0.0006968779,0.0004258079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484366,"about_ca_system_score_gemma":0.0009477463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244188,"about_ca_topic_score_gemma":0.006340474,"domain_scores_codex":[0.9990914,0.0003255507,0.00009302017,0.0001557112,0.0002516585,0.00008271154],"domain_scores_gemma":[0.9981503,0.0008968469,0.000215243,0.0001466284,0.0005155837,0.00007533556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001201979,0.0007360341,0.1294908,0.0009091469,0.0007577327,0.0004148935,0.002822204,0.008255897,0.0862457,0.001376988,0.003182317,0.7646064],"study_design_scores_gemma":[0.00007592793,0.001742907,0.8914645,0.0001602278,0.0002633939,0.0005326988,0.001632578,0.08476486,0.009830687,0.002391326,0.006984451,0.0001565101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7353645,0.001386737,0.2549761,0.0004219624,0.0002031016,0.001729529,0.001390702,0.001253683,0.003273643],"genre_scores_gemma":[0.7963192,0.0006358604,0.1990303,0.00004381608,0.00006095525,0.001526802,0.0008443577,0.0001233202,0.00141529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004244188,"threshold_uncertainty_score":0.01433164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323236743173847,"score_gpt":0.3565149254848891,"score_spread":0.3032825580531506,"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."}}