{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001287908,0.0001095283,0.000225516,0.00009046276,0.000005952127,0.000005835373,0.00005692966,0.00007278818,0.000003363207],"category_scores_gemma":[0.00004042471,0.0001116866,0.00002728768,0.0001392615,0.00001112983,0.0001124578,0.00002687859,0.0001024261,5.796034e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002095478,"about_ca_system_score_gemma":0.000006017634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000157383,"about_ca_topic_score_gemma":6.668624e-7,"domain_scores_codex":[0.9993449,8.666369e-7,0.0002556106,0.00006623335,0.0001246093,0.0002077932],"domain_scores_gemma":[0.9997482,0.00002060067,0.000029523,0.00006785164,0.00003831689,0.00009551453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000179344,0.00007151351,0.0185317,0.001106439,0.00005699423,9.383733e-7,0.00190273,0.05687782,0.9104385,0.003298387,0.0000320551,0.007665025],"study_design_scores_gemma":[0.000203042,0.00003838436,0.004970643,0.000071567,0.00003106182,0.00001515204,0.0001128346,0.8886347,0.105441,0.00001361633,0.0002715085,0.0001965223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791368,0.001309409,0.01900301,0.000003827762,0.00029086,0.00006117825,0.000003321664,0.00009467343,0.0000969173],"genre_scores_gemma":[0.9932229,0.00002202276,0.006616805,9.5574e-7,0.0001027349,0.00000364482,0.000003514743,0.00002639751,0.000001041539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8317568,"threshold_uncertainty_score":0.4554447,"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."}}