{"id":"W2792814593","doi":"10.1503/cmaj.68954","title":"Opioids for chronic pain","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Security Establishment","funders":"","keywords":"Chronic pain; Medicine; Computer science; Data science; World Wide Web; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0008280007,0.0005133888,0.0005555006,0.0005459035,0.002101166,0.0009373928,0.0006621387,0.005486573,0.0171665],"category_scores_gemma":[0.00396884,0.0001601926,0.0005225263,0.0005126181,0.00136316,0.001540987,0.001232644,0.008025751,0.007634281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960526,"about_ca_system_score_gemma":0.002779533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009379298,"about_ca_topic_score_gemma":0.04368284,"domain_scores_codex":[0.9987418,0.0002020741,0.0000966663,0.00008348014,0.0007315906,0.0001443877],"domain_scores_gemma":[0.9985691,0.0005119466,0.0001895466,0.0000638308,0.0003598846,0.0003057527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004242273,0.00004120392,0.0004450031,0.0004499163,0.000009936482,0.0009127742,0.00008538586,0.00002924728,0.0004207012,0.005052236,0.8830779,0.1094334],"study_design_scores_gemma":[0.00003334825,0.00005234937,0.001009884,0.0008163816,0.000006865917,0.002061972,0.00005959404,0.00002420736,0.00004900445,0.002256111,0.9936213,0.000008968212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009968693,0.2597825,0.0002766933,0.6306228,0.02202532,0.00004419678,0.0001810653,0.00009239386,0.08597826],"genre_scores_gemma":[0.01453326,0.2688788,0.001003624,0.5699751,0.06295796,0.00007572395,0.0002097504,0.00004770911,0.08231817],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0171665,"threshold_uncertainty_score":0.05742764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008197180200286256,"score_gpt":0.2516611181955564,"score_spread":0.2434639379952701,"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."}}