{"id":"W2317910182","doi":"10.1177/1754337114562096","title":"Improving ice hockey slap shot analysis using three-dimensional optical motion capture: A pilot study determining the effects of a novel grip tape on slap shot performance","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ice hockey; Shot (pellet); Motion analysis; Sports biomechanics; Computer science; Artificial intelligence; Engineering; Simulation; Computer vision; Materials science; Physical medicine and rehabilitation; Medicine","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":[0.001308389,0.0007905467,0.0005174251,0.0004383507,0.0003173635,0.0004935928,0.0007132558,0.0004809549,0.001633612],"category_scores_gemma":[0.003159536,0.0003600662,0.0004791937,0.0001711518,0.0004829033,0.0005311212,0.0007258319,0.0004678544,0.0003039681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002744136,"about_ca_system_score_gemma":0.0005666715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946882,"about_ca_topic_score_gemma":0.00370748,"domain_scores_codex":[0.9992021,0.0001337728,0.00009954278,0.0001621152,0.0002734464,0.0001290375],"domain_scores_gemma":[0.9978108,0.0008595096,0.0002375653,0.0001905658,0.0007111075,0.0001905595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008269865,0.01025765,0.01853588,0.001445051,0.000208665,0.0004648566,0.001904175,0.002749807,0.8284426,0.0001276107,0.0004901621,0.1271036],"study_design_scores_gemma":[0.001123716,0.2206539,0.3857672,0.0002601596,0.0007564232,0.001119961,0.002243449,0.01635954,0.3669608,0.0001901701,0.004356121,0.0002084667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904158,0.0001019344,0.008290174,0.00002800317,0.00003108887,0.0005860577,0.000120062,0.00004310973,0.000383799],"genre_scores_gemma":[0.9622634,0.0003945004,0.03399266,0.0001619854,0.00005583175,0.001136948,0.0003874897,0.00004043565,0.001566672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001946882,"threshold_uncertainty_score":0.006919563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807341500997995,"score_gpt":0.1944420698004226,"score_spread":0.1846347282994246,"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."}}