{"id":"W2742786690","doi":"10.1080/24740527.2017.1325715","title":"Predicting treatment outcomes of pain patients attending tertiary multidisciplinary pain treatment centers: A pain trajectory approach","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Pain","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Pfizer Canada; Réseau québécois de recherche sur la douleur; Pfizer","keywords":"Medicine; Quality of life (healthcare); Physical therapy; Brief Pain Inventory; Depression (economics); Neuropathic pain; Chronic pain; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008698087,0.0003530807,0.0007606989,0.0004921003,0.0004433113,0.0000506446,0.0002311338,0.0001592198,0.00004492705],"category_scores_gemma":[0.004043649,0.000247698,0.0006381076,0.0000805081,0.0002359493,0.0001925607,0.00001474392,0.0002038484,0.000001504147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404746,"about_ca_system_score_gemma":0.000720294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006249468,"about_ca_topic_score_gemma":0.00655672,"domain_scores_codex":[0.9954126,0.00252538,0.0009060926,0.0002965551,0.0003419392,0.0005173833],"domain_scores_gemma":[0.9964526,0.001107992,0.000799401,0.0005316224,0.0001810605,0.0009273727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006858248,0.0005680118,0.9061195,0.0003552352,0.0004144525,0.00007261423,0.003701044,0.00003343848,0.0003000902,0.000003311555,0.0004253994,0.08793833],"study_design_scores_gemma":[0.00401938,0.005249746,0.9776696,0.0009816001,0.0001738237,0.000007804327,0.004577343,0.006463731,0.00005005587,0.0000212518,0.0005596352,0.0002260297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940194,0.0003279597,0.002358963,0.00170059,0.0003053118,0.00093095,0.00005856112,0.00001476122,0.000283461],"genre_scores_gemma":[0.9966471,0.00002026822,0.002428721,0.0002534656,0.0002383629,0.00003021984,0.00007515784,0.00004523137,0.0002614938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0877123,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127674117350073,"score_gpt":0.2769144496975648,"score_spread":0.2556377085240641,"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."}}