{"id":"W2769157601","doi":"10.1519/jsc.0000000000002330","title":"Biomechanical Methods to Quantify Muscle Effort During Resistance Exercise","year":2017,"lang":"en","type":"review","venue":"The Journal of Strength and Conditioning Research","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inverse dynamics; Kinematics; Biomechanics; Physical medicine and rehabilitation; Muscle group; Computer science; Muscle contraction; Force transducer; Work (physics); Simulation; Mathematics; Biomedical engineering; Anatomy; Engineering; Physics; Medicine","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":[0.002686982,0.0002099459,0.0008163067,0.0006670554,0.000820133,0.0001688163,0.0005232179,0.0001239537,0.00003325242],"category_scores_gemma":[0.0003259462,0.0001405967,0.0002008543,0.0004532139,0.0001320193,0.0001349287,0.0001108827,0.001113971,0.000004258058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007690349,"about_ca_system_score_gemma":0.00007629635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005533877,"about_ca_topic_score_gemma":0.000006101204,"domain_scores_codex":[0.9981917,0.0002738701,0.0005466202,0.000139718,0.0004433433,0.0004048222],"domain_scores_gemma":[0.9982691,0.0007695619,0.0002096206,0.0003488238,0.0002244373,0.0001784743],"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":[0.00002031265,0.00001252088,9.319629e-7,0.002955455,0.0002141528,0.00001118493,0.0001486018,0.000003399809,0.0000786363,0.0001130429,0.002706838,0.9937349],"study_design_scores_gemma":[0.0002416114,0.00008137997,0.000451522,0.01431647,0.0002693076,0.00005683908,0.0002185535,0.00001438042,0.0003026975,0.0003420615,0.9834488,0.0002563674],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008085229,0.9977062,0.0002270368,0.00007427506,0.0001852509,0.0002703925,0.00001375992,0.00003386835,0.0006806357],"genre_scores_gemma":[0.002668397,0.9955816,0.001205032,0.000002526754,0.0002035828,0.00002824278,0.000003877011,0.00003440414,0.0002723574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9934785,"threshold_uncertainty_score":0.6307883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142464043810045,"score_gpt":0.4377574077938954,"score_spread":0.3235110034128909,"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."}}