{"id":"W2075402587","doi":"10.1016/j.clinbiomech.2008.01.002","title":"Gluteus medius muscle activation patterns as a predictor of low back pain during standing","year":2008,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":210,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"AUTO21 Network of Centres of Excellence; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Low back pain; Medius; Visual analogue scale; Medicine; Physical medicine and rehabilitation; Asymptomatic; Physical therapy; Electromyography; Back pain; Trunk; Internal medicine; Pathology","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":[0.0002397584,0.0003623297,0.000247051,0.0006352239,0.0002032715,0.000398014,0.0001443754,0.0005169163,0.001671564],"category_scores_gemma":[0.001578357,0.0001502093,0.0001709103,0.0004568214,0.0001717924,0.000223391,0.0002569403,0.0002788116,0.0003044443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008107387,"about_ca_system_score_gemma":0.0001170626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356502,"about_ca_topic_score_gemma":0.002655669,"domain_scores_codex":[0.9998997,0.0000279724,0.00001078288,0.00001530045,0.00001906645,0.00002717772],"domain_scores_gemma":[0.9992225,0.0003411048,0.0001998375,0.00001649951,0.00006051447,0.0001594242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00144396,0.0001595374,0.9830168,0.00004058472,0.00008433813,0.0003433024,0.0001312469,0.0001788796,0.00867246,0.00001531379,0.00008223992,0.005831275],"study_design_scores_gemma":[0.000005594168,0.0001779186,0.999191,0.000002748444,0.00001307107,0.0001690168,0.00005608508,0.0002359051,0.0001190498,0.0000067065,0.00002136619,0.000001602955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993851,0.0001327615,0.00007127496,0.00002244953,0.000005699493,0.000005439495,0.00006510525,0.0000028104,0.0003093018],"genre_scores_gemma":[0.9995301,0.00007681149,0.00006932342,0.00001146531,0.00001107779,0.000006083928,0.00009222153,0.00000103468,0.0002017895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001671564,"threshold_uncertainty_score":0.005591929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552739502851389,"score_gpt":0.3250870138874609,"score_spread":0.289559618858947,"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."}}