{"id":"W2921725162","doi":"10.1016/j.jmpt.2018.04.006","title":"Correlations Between Individuals’ Characteristics and Spinal Stiffness in Individuals With and Without Back Pain: A Combined Analysis of Multiple Data Sets","year":2018,"lang":"en","type":"article","venue":"Journal of Manipulative and Physiological Therapeutics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Memorial University of Newfoundland; Canadian Memorial Chiropractic College; Université du Québec à Trois-Rivières","funders":"","keywords":"Medicine; Stiffness; Correlation; Lumbar; Body mass index; Low back pain; Rank correlation; Correlation coefficient; Physical therapy; Internal medicine; Statistics; Surgery; Mathematics; Pathology; Structural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005672048,0.0005733983,0.001280916,0.002981003,0.0004453825,0.0009681027,0.0004407056,0.0005523899,0.001263505],"category_scores_gemma":[0.01330714,0.000334503,0.00171359,0.002528575,0.000375387,0.0007938748,0.00124225,0.0005718198,0.000248647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294796,"about_ca_system_score_gemma":0.0003712419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129251,"about_ca_topic_score_gemma":0.002004732,"domain_scores_codex":[0.9947083,0.002088572,0.0008605613,0.0009707085,0.001138718,0.0002331441],"domain_scores_gemma":[0.9826681,0.008718501,0.004271531,0.001921069,0.002012451,0.0004083883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003457952,0.00005750603,0.9937509,0.00007523016,0.001063393,0.00004169402,0.00016568,0.000133786,0.0007711066,0.00001278846,0.00006856543,0.003513477],"study_design_scores_gemma":[0.000007908437,0.0003676884,0.9982203,0.00001426349,0.0002461242,0.0001279561,0.0001727005,0.0004512639,0.0002239237,0.00002268398,0.000136652,0.000008578601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962646,0.0004386901,0.001768055,0.00002712882,0.0000143086,0.00004638604,0.001114694,0.00001975357,0.0003064014],"genre_scores_gemma":[0.997125,0.00008717879,0.001417948,0.00001278523,0.00001571587,0.00008826153,0.001133763,0.000006898439,0.0001124148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005672048,"threshold_uncertainty_score":0.02999705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2549317001515103,"score_gpt":0.3866057005398461,"score_spread":0.1316740003883358,"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."}}