{"id":"W2105000104","doi":"10.1016/j.spinee.2015.09.034","title":"The importance of identifying and modifying unemployment predictor variables in the evolution of a novel model of care for low back pain in the general population","year":2015,"lang":"en","type":"article","venue":"The Spine Journal","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Context (archaeology); Logistic regression; Population; Observational study; Low back pain; Cohort; Physical therapy; Gerontology; Environmental health; Alternative medicine","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":[0.01075928,0.0006137529,0.0009436754,0.0007307795,0.001178601,0.002431733,0.001655671,0.001530137,0.001923237],"category_scores_gemma":[0.03366254,0.000473971,0.00151527,0.0005274218,0.0007737727,0.001530556,0.001301771,0.002710824,0.0002055483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311029,"about_ca_system_score_gemma":0.002958568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03833349,"about_ca_topic_score_gemma":0.04647994,"domain_scores_codex":[0.9966947,0.002275384,0.0001588324,0.0005013896,0.0001238397,0.0002459307],"domain_scores_gemma":[0.9841966,0.01324213,0.0008270027,0.0006080256,0.0005207595,0.0006053717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009098236,0.0004920482,0.9571295,0.00004388088,0.0008891094,0.0002049836,0.0004449603,0.02381279,0.000354479,0.001017354,0.0005016919,0.01419938],"study_design_scores_gemma":[0.0002017921,0.0008864214,0.4060958,0.00009495852,0.001117757,0.0004453162,0.001250065,0.581516,0.0004236717,0.007049999,0.0008430034,0.00007516846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907297,0.0003782673,0.006186134,0.002039987,0.00005974035,0.00003348916,0.0002007955,0.00002876714,0.0003429885],"genre_scores_gemma":[0.9965388,0.00009237435,0.002805555,0.0001128186,0.00002561789,0.00001565469,0.0001761131,0.000009087585,0.0002239487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03833349,"threshold_uncertainty_score":0.07622075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067861329468624,"score_gpt":0.3209276880678286,"score_spread":0.2802490747731424,"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."}}