{"id":"W2160798554","doi":"10.1007/s12283-009-0020-9","title":"A three-dimensional forward dynamics model of the golf swing","year":2009,"lang":"en","type":"article","venue":"Sports Engineering","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Swing; Kinematics; Torque; Simulation; Planar; Dynamics (music); Control theory (sociology); Computer science; Engineering; Physics; Mechanical engineering; Control (management); Artificial intelligence","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":[0.000150549,0.0005396705,0.0008587415,0.0004354496,0.000751638,0.001083486,0.001193737,0.002013346,0.008343965],"category_scores_gemma":[0.0004440664,0.0005318682,0.000662758,0.0004995755,0.0005872958,0.0008084953,0.0008527702,0.0006346826,0.001399233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430753,"about_ca_system_score_gemma":0.001277883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03942654,"about_ca_topic_score_gemma":0.01600249,"domain_scores_codex":[0.9999204,0.00001689816,0.000005995991,0.00001987698,0.0000219144,0.00001500023],"domain_scores_gemma":[0.999887,0.00003140602,0.00001965496,0.000008386693,0.00003179311,0.00002171326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003588153,0.00002276453,0.0004658911,0.00003634592,0.00001745297,0.000169128,0.00006474703,0.9877926,0.001330745,0.006654056,0.0005565112,0.002853891],"study_design_scores_gemma":[0.00001877599,0.00001695098,0.0002620975,0.000006976434,0.000008874587,0.00002436348,0.0000177123,0.9969585,0.0001005483,0.001522687,0.00105473,0.00000781103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.301976,0.001409738,0.5877826,0.003247139,0.0005354536,0.0002712079,0.005002447,0.001200284,0.09857514],"genre_scores_gemma":[0.9644496,0.0006593412,0.01023462,0.0001645764,0.00007281407,0.0002013131,0.0007069345,0.00007101034,0.02343977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03942654,"threshold_uncertainty_score":0.07839411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003983921011779909,"score_gpt":0.1603556912990894,"score_spread":0.1563717702873095,"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."}}