{"id":"W1995294349","doi":"10.1016/j.proeng.2012.04.079","title":"Comparison of Optical and Inertial Tracking of Full Golf Swings","year":2012,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inertial measurement unit; Engineering; Acceleration; Orientation (vector space); Kalman filter; Computer vision; Computer science; Artificial intelligence; Physics; Mathematics","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":[0.0005017156,0.0004030585,0.0003600372,0.002682265,0.0004233204,0.0008420408,0.0003862659,0.0004801507,0.002265123],"category_scores_gemma":[0.002921103,0.0002039663,0.0002966116,0.001344483,0.000196373,0.0006031443,0.0005392503,0.0001266133,0.0005256853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441315,"about_ca_system_score_gemma":0.000512088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126103,"about_ca_topic_score_gemma":0.01770804,"domain_scores_codex":[0.9996069,0.00003355612,0.0000235702,0.00007830127,0.0001881638,0.00006944951],"domain_scores_gemma":[0.9988336,0.0002641195,0.00018482,0.00008106855,0.0005681211,0.00006839507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003918565,0.0006621072,0.2214709,0.000962812,0.0003754061,0.0003756837,0.0008656871,0.04733811,0.1207734,0.0007293223,0.004197606,0.5983304],"study_design_scores_gemma":[0.000141294,0.001948776,0.8301463,0.0002368934,0.0002175673,0.0006602398,0.0006957595,0.1202991,0.03624539,0.0004058513,0.008900581,0.0001023099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566022,0.0007214262,0.02788352,0.0001107343,0.0001424509,0.000157617,0.001932193,0.0007740518,0.01167587],"genre_scores_gemma":[0.9798675,0.0003817121,0.01533838,0.0001257743,0.00005784972,0.00007398874,0.002137217,0.00009480205,0.001922789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126103,"threshold_uncertainty_score":0.02507377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096834230190677,"score_gpt":0.2275257069158262,"score_spread":0.2165573646139194,"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."}}