{"id":"W2085992032","doi":"10.1080/00140130701194926","title":"The effect of reducing the number of EMG channel inputs on loading and stiffness estimates from an EMG-driven model of the spine","year":2007,"lang":"en","type":"article","venue":"Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Electromyography; Erector spinae muscles; Trunk; Stiffness; Lumbar spine; Joint (building); Moment (physics); Lumbar; Physical medicine and rehabilitation; Simulation; Anatomy; Medicine; Engineering; Structural engineering; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007294316,0.0001026272,0.0002344295,0.00002557233,0.00008357479,0.00000547684,0.0001180588,0.00005958732,0.00000214854],"category_scores_gemma":[0.0003042513,0.00004717494,0.00008285527,0.0000739719,0.0002406931,0.00003587254,0.00004638514,0.0001212362,5.319494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002903832,"about_ca_system_score_gemma":0.00002561785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436152,"about_ca_topic_score_gemma":0.00002093411,"domain_scores_codex":[0.9992813,0.00006629017,0.0002921215,0.0001339156,0.0001116513,0.000114763],"domain_scores_gemma":[0.9988631,0.0005110619,0.0001891788,0.0003551742,0.0000444287,0.00003705375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003436444,0.0003609877,0.06802034,0.002070676,0.0004557772,7.273284e-7,0.01489063,0.125147,0.7390698,0.003025178,0.0001075958,0.04341491],"study_design_scores_gemma":[0.001245597,0.0004243778,0.5840444,0.0007794315,0.0001147824,0.000001470552,0.0003935757,0.3016271,0.110551,0.000712213,0.000005657507,0.000100433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983523,0.00007955337,0.0005349793,0.000313831,0.0001499708,0.0003607984,0.000006777631,0.000006991301,0.0001947769],"genre_scores_gemma":[0.999395,0.00001924263,0.0004292714,0.00003352245,0.00007070421,0.000004210642,0.000004874972,0.00001395045,0.00002928822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6285188,"threshold_uncertainty_score":0.1923738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036551581368158,"score_gpt":0.2882940988624911,"score_spread":0.2779285830488095,"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."}}