{"id":"W2157240039","doi":"10.1080/02640411003792711","title":"Validity and reliability of a new method for measuring putting stroke kinematics using the TOMI® system","year":2010,"lang":"en","type":"article","venue":"Journal of Sports Sciences","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Kinematics; Reliability (semiconductor); Stroke (engine); Validity; Computer science; Simulation; Artificial intelligence; Computer vision; Mathematics; Statistics; Engineering; Physics; Mechanical engineering","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":[0.02147725,0.0006243275,0.0008072882,0.002407735,0.0004211684,0.001524198,0.001013885,0.0008337616,0.0009383373],"category_scores_gemma":[0.06210662,0.000528844,0.001030919,0.001143804,0.001232848,0.001343295,0.00175446,0.0006663111,0.0005879698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006029946,"about_ca_system_score_gemma":0.0007674072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313068,"about_ca_topic_score_gemma":0.001970772,"domain_scores_codex":[0.9762045,0.008107935,0.002959294,0.002164694,0.01011011,0.000453576],"domain_scores_gemma":[0.9451342,0.02575502,0.006886661,0.005354086,0.01634299,0.0005271288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001462758,0.0002901577,0.7040871,0.0007031784,0.0005518292,0.0001584914,0.002526612,0.00289381,0.02370698,0.001078101,0.00144151,0.2610995],"study_design_scores_gemma":[0.000202743,0.00275239,0.9133955,0.0004080026,0.0004453128,0.001345675,0.001203038,0.05005012,0.0224179,0.001039415,0.006523651,0.0002162191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368604,0.001264502,0.1517529,0.0002133627,0.0005530625,0.0008574471,0.0005606138,0.0005508934,0.007386843],"genre_scores_gemma":[0.9273356,0.0003994444,0.0700072,0.00007904146,0.0001105954,0.0005524468,0.000416253,0.0001047458,0.0009947736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147725,"threshold_uncertainty_score":0.1135839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968575139446753,"score_gpt":0.2897789158192313,"score_spread":0.2500931644247638,"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."}}