{"id":"W1983954482","doi":"10.1016/j.humov.2008.11.001","title":"Catching fly balls: A simulation study of the Chapman strategy","year":2008,"lang":"en","type":"article","venue":"Human Movement Science","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Ball (mathematics); Acceleration; Perception; Simulation; Computer science; Psychology; Physics; Mathematics; Classical mechanics; Mathematical analysis","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":[0.000207306,0.00006665122,0.00006303432,0.00006869019,0.0002770093,0.00001889839,0.0002895558,0.00001227743,0.00001526963],"category_scores_gemma":[0.000003160927,0.00004912173,0.00001869233,0.0003353771,0.00006416153,0.0001114638,0.00005962186,0.00005155056,0.000001031446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000535412,"about_ca_system_score_gemma":0.00001738176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006819847,"about_ca_topic_score_gemma":0.00007685133,"domain_scores_codex":[0.9991904,0.000004192896,0.0001565802,0.0001308513,0.0003750333,0.0001428836],"domain_scores_gemma":[0.9996686,0.000004493287,0.00004031666,0.0002251868,0.00003451961,0.00002688967],"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":[0.00000122151,0.000213862,0.01276931,0.0000109916,0.000008360586,0.000003385931,0.003628097,0.9148437,0.06412411,0.00326692,0.000009931136,0.001120145],"study_design_scores_gemma":[0.0001706627,0.00007792617,0.3224557,0.000008693471,0.000003722056,3.994925e-7,0.0007246072,0.6745922,0.001255973,0.0006134144,0.000008552142,0.00008812462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984927,0.000008921755,0.0005221008,0.000003049233,0.0001301869,0.0002034893,9.246664e-7,0.00003449624,0.0006041009],"genre_scores_gemma":[0.9998898,0.000001964479,0.0000239461,0.00001906809,0.00001446218,0.000002256318,4.380348e-7,0.000005540363,0.00004250784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3096864,"threshold_uncertainty_score":0.213056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837796323974088,"score_gpt":0.2545324488963483,"score_spread":0.2261544856566074,"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."}}