{"id":"W4376274585","doi":"10.20338/bjmb.v17i1.294","title":"The influence of athletic background, lower limb dominance and cutting angle on the center of mass kinematics during a sidestep cutting task","year":2023,"lang":"en","type":"article","venue":"Brazilian Journal of Motor Behavior","topic":"Sports injuries and prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Kinematics; Trunk; Athletes; Angular acceleration; Physical medicine and rehabilitation; Trajectory; Simulation; Angular velocity; Psychology; Physical therapy; Medicine; Computer science; Physics","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":[0.0002704377,0.0002511832,0.0002075444,0.000216509,0.0001456774,0.0002498442,0.00009698066,0.0001746885,0.001457366],"category_scores_gemma":[0.0008776957,0.0001156292,0.0001146713,0.00010168,0.0002287526,0.000103408,0.0003323564,0.0001329014,0.0001666704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008047999,"about_ca_system_score_gemma":0.0001512137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155529,"about_ca_topic_score_gemma":0.002478625,"domain_scores_codex":[0.9998543,0.00003247119,0.00001204503,0.00003450813,0.00003113942,0.00003554918],"domain_scores_gemma":[0.9993267,0.000232093,0.0001863809,0.00003008895,0.00008065348,0.0001440551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007309685,0.001034696,0.7935573,0.0002723516,0.0002242716,0.0005752441,0.00155688,0.000762372,0.1600661,0.00005191644,0.0001155267,0.03447357],"study_design_scores_gemma":[0.00001032283,0.0009429752,0.9972122,0.000008452093,0.0000164914,0.00009823032,0.0002218556,0.0002649039,0.001165744,0.000008690885,0.0000477011,0.000002406302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997891,0.00001441206,0.00007739058,0.000001927039,7.325368e-7,0.000003544055,0.0000135466,9.131116e-7,0.00009857286],"genre_scores_gemma":[0.9996253,0.00002051918,0.0001628172,0.000004160162,0.000002146002,0.000007796259,0.00005513141,0.000001215667,0.0001208398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457366,"threshold_uncertainty_score":0.004875362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428262208594981,"score_gpt":0.2786646119644179,"score_spread":0.2643819898784681,"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."}}