{"id":"W2907559875","doi":"10.1002/ejp.1356","title":"Predicting transition from acute to chronic low back pain with quantitative sensory tests—A prospective cohort study in the primary care setting","year":2018,"lang":"en","type":"article","venue":"European Journal of Pain","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Institute of Health Services and Policy Research; University of Toronto; St. Michael's Hospital","funders":"Inselspital, Universitätsspital Bern; University of Bern; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Primary care; Medicine; Prospective cohort study; Physical therapy; Low back pain; Cohort; Acute pain; Cohort study; Physical medicine and rehabilitation; Alternative medicine; Internal medicine; Family medicine; Anesthesia; Pathology","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":[0.002276884,0.0003969071,0.0004997239,0.0007334327,0.0006885458,0.001096818,0.0005554455,0.0008735757,0.00145526],"category_scores_gemma":[0.005093205,0.0005452847,0.0008934903,0.0009775297,0.000491682,0.0007671396,0.0007200444,0.001052862,0.0002776259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249163,"about_ca_system_score_gemma":0.0006329541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006276944,"about_ca_topic_score_gemma":0.00706768,"domain_scores_codex":[0.9986382,0.0004674801,0.0001179832,0.0003268586,0.0002393815,0.0002100307],"domain_scores_gemma":[0.9969993,0.0008321326,0.0008965106,0.0004091421,0.0003748388,0.00048819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212639,0.00007638616,0.9993371,0.000006446118,0.00004721939,0.00003407448,0.00004875375,0.00001209935,0.00007710201,0.000003110324,0.00002042283,0.0002160656],"study_design_scores_gemma":[0.00001780471,0.0005165552,0.9989888,0.000005251541,0.00003741501,0.0001188414,0.0001268738,0.0001270343,0.00002129117,0.000006965938,0.00002985245,0.000003335218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995752,0.00006493685,0.00007083271,0.0000154552,0.000004293618,0.00002599577,0.0001509984,0.00000133657,0.00009096409],"genre_scores_gemma":[0.9995496,0.00003983797,0.0001070028,0.00002347779,0.000005924537,0.00002075248,0.0002075696,8.133644e-7,0.00004502247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006276944,"threshold_uncertainty_score":0.0124808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009392771485542784,"score_gpt":0.2657644798661063,"score_spread":0.2563717083805635,"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."}}