{"id":"W7115824702","doi":"","title":"Optimizing chronic pain and disability management","year":2016,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chronic pain; Clinical trial; Neuropathic pain; Adverse effect; Cohort; MEDLINE; Chronic disease; Outcome (game theory); Randomized controlled trial","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00213762,0.000299652,0.0005197213,0.0006867062,0.001290042,0.002759983,0.0004921096,0.0009776927,0.007406617],"category_scores_gemma":[0.006854569,0.0001199186,0.0005388298,0.000705219,0.001048778,0.001137963,0.001419459,0.001584463,0.001130655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003356926,"about_ca_system_score_gemma":0.01229556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368549,"about_ca_topic_score_gemma":0.03346419,"domain_scores_codex":[0.9984294,0.00063913,0.0001007023,0.0001270334,0.0004536774,0.0002500272],"domain_scores_gemma":[0.9986261,0.0003945183,0.000231196,0.00005301427,0.0003498348,0.0003452991],"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":[0.0001624993,0.0007164124,0.01272724,0.003882762,0.0002085293,0.0001443369,0.002257964,0.0009392787,0.0009010602,0.04949058,0.1036242,0.8249452],"study_design_scores_gemma":[0.0003356987,0.001471832,0.09172653,0.02380245,0.0005396968,0.0009754904,0.008799694,0.001267655,0.001370768,0.09434786,0.7752607,0.0001016516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05570481,0.3864268,0.009703489,0.3048098,0.003006885,0.0007522244,0.0009623188,0.0001394495,0.2384942],"genre_scores_gemma":[0.5252345,0.3777055,0.02556546,0.03419168,0.002868104,0.0007427112,0.0005836622,0.00005058543,0.03305773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01368549,"threshold_uncertainty_score":0.02721167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009380127963027085,"score_gpt":0.2172981578228809,"score_spread":0.2079180298598538,"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."}}