{"id":"W2124409697","doi":"10.1016/j.apmr.2005.03.033","title":"Preliminary Development of a Clinical Prediction Rule for Determining Which Patients With Low Back Pain Will Respond to a Stabilization Exercise Program","year":2005,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":622,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Physical therapy; Clinical prediction rule; Low back pain; Rehabilitation; Physical examination; Prospective cohort study; Cohort; Logistic regression; Physical medicine and rehabilitation; Surgery; Internal medicine; Alternative medicine","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":[0.000913885,0.0001631971,0.0005518272,0.0002460435,0.00005738942,0.00000279699,0.00004929492,0.00006151734,0.000005044484],"category_scores_gemma":[0.004340781,0.0001084588,0.0001084131,0.0002770533,0.0003707619,0.0001447931,0.00002538719,0.00009863442,6.711162e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001796264,"about_ca_system_score_gemma":0.0001080009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000271885,"about_ca_topic_score_gemma":0.000006490529,"domain_scores_codex":[0.998021,0.0002130862,0.0008825285,0.0003675953,0.0003487155,0.0001670755],"domain_scores_gemma":[0.9946156,0.004373968,0.0002527508,0.0002095862,0.0003688999,0.0001792689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003888397,0.00230115,0.06164855,0.005214917,0.00004544607,3.924661e-8,0.02626059,0.0001053614,0.004066984,0.0000484917,0.00005617102,0.8963639],"study_design_scores_gemma":[0.005105385,0.04070576,0.9277489,0.006164105,0.00009586336,1.581674e-7,0.001652442,0.01718397,0.0004326663,0.0003459122,0.0004320602,0.0001327427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987057,0.00002860078,0.008095763,0.00122995,0.00003433284,0.003405628,0.000009213346,0.00002775646,0.0001117503],"genre_scores_gemma":[0.8588756,0.000004334652,0.1405078,0.00004073471,0.0001402145,0.0002602289,0.0001268906,0.00001869051,0.00002554363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8962312,"threshold_uncertainty_score":0.5196635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213159287674661,"score_gpt":0.3230530444225133,"score_spread":0.3109214515457667,"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."}}