{"id":"W2971776554","doi":"10.1249/jsr.0000000000000601","title":"Musculoskeletal Simulation Tools for Understanding Mechanisms of Lower-Limb Sports Injuries","year":2019,"lang":"en","type":"review","venue":"Current Sports Medicine Reports","topic":"Sports injuries and prevention","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Musculoskeletal injury; Physical medicine and rehabilitation; Hamstring; Physical therapy; Anterior cruciate ligament; ACL injury; Kinematics; Sports medicine; Surgery; Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002257275,0.001096794,0.005361768,0.000963398,0.0001431657,0.0000285743,0.000164684,0.0006858073,0.001028498],"category_scores_gemma":[0.0008928282,0.0008378096,0.002089811,0.0006408499,0.0002741061,0.0003442198,0.0001102773,0.0006836576,0.000003517535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094068,"about_ca_system_score_gemma":0.001017783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007338671,"about_ca_topic_score_gemma":8.024338e-7,"domain_scores_codex":[0.9917851,0.00005910364,0.004209238,0.001331131,0.001914738,0.0007006516],"domain_scores_gemma":[0.9919586,0.0004945153,0.005125083,0.001601302,0.0004510319,0.0003694501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002010024,0.0002739134,0.0001423133,0.08105803,0.000299556,0.0004050143,0.000057396,0.00001689126,0.000001493411,0.002551677,0.001409763,0.913583],"study_design_scores_gemma":[0.0006679701,0.001302463,0.0001490858,0.08886866,0.01004491,0.0006460312,0.0001509378,0.00003026488,0.000003204305,0.006701224,0.8906964,0.0007388714],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001987628,0.9513373,0.02768954,0.00005940067,0.01243563,0.006836898,0.000058649,0.000174561,0.0012093],"genre_scores_gemma":[0.03326525,0.9593762,0.0003230404,0.00002451559,0.001616062,0.0001958853,0.004179301,0.0002368234,0.0007829111],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9128441,"threshold_uncertainty_score":0.9998847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588931757629252,"score_gpt":0.4381785556365221,"score_spread":0.2792853798735969,"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."}}