{"id":"W4399611390","doi":"10.1152/japplphysiol.00086.2024","title":"The effect of trunk position and pain location on lumbar extensor muscle recruitment strategies","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Isometric exercise; Trunk; Lumbar; Electromyography; Medicine; Low back pain; Physical medicine and rehabilitation; Anatomy; Physical therapy; Back pain; Back muscles; Position (finance); Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005569066,0.0005953517,0.0005473639,0.0002802623,0.0001288284,0.0004241222,0.0004008315,0.0004970022,0.006658165],"category_scores_gemma":[0.003772283,0.0003017106,0.0002199347,0.0001679547,0.0004841409,0.0004076269,0.0005807129,0.0003434139,0.000677724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283423,"about_ca_system_score_gemma":0.0001681452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479087,"about_ca_topic_score_gemma":0.0007339554,"domain_scores_codex":[0.9994803,0.0002196625,0.00004263521,0.0001065376,0.00006286245,0.00008795953],"domain_scores_gemma":[0.9972825,0.001967717,0.0002135001,0.0002024503,0.0001225049,0.0002113745],"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":[0.04338273,0.001442811,0.02134109,0.0005287783,0.0001443993,0.0006092554,0.0005652601,0.001470382,0.8870256,0.0001130359,0.0001881892,0.04318843],"study_design_scores_gemma":[0.0007826503,0.02835645,0.929459,0.00007999181,0.0002611957,0.0006050449,0.0004773701,0.003383007,0.03530873,0.0003042586,0.0009354047,0.00004698441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977018,0.0004233056,0.0008402131,0.0000360349,0.00003040953,0.00003784303,0.00007866845,0.00002228238,0.0008292907],"genre_scores_gemma":[0.9978332,0.000168493,0.0007227262,0.00004445314,0.00002192567,0.00007620439,0.00006655576,0.00002173895,0.001044792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006658165,"threshold_uncertainty_score":0.02227378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000768353036909,"score_gpt":0.2936031148802363,"score_spread":0.2835954313498672,"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."}}