{"id":"W3097569460","doi":"10.1016/j.bja.2020.09.026","title":"Perioperative Pain and Addiction Interdisciplinary Network (PAIN): consensus recommendations for perioperative management of cannabis and cannabinoid-based medicine users by a modified Delphi process","year":2020,"lang":"en","type":"article","venue":"British Journal of Anaesthesia","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Calgary; McGill University; St. Paul's Hospital; Toronto General Hospital; McMaster University; University of Manitoba; Centre for Addiction and Mental Health; Hotchkiss Brain Institute; Dalhousie University; University of Toronto; NOSM University; St. Michael's Hospital","funders":"University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Perioperative; Cannabis; Addiction; Delphi method; Medicine; Pain management; Delphi; Psychology; Anesthesia; Psychiatry; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586742,0.0002046565,0.0006118139,0.0001127104,0.000302184,0.0000599959,0.0001076088,0.00008834334,0.00004744278],"category_scores_gemma":[0.0002623901,0.0001924147,0.0001054267,0.0003193392,0.0004365613,0.000102487,0.00004509472,0.0003214305,8.84289e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009852213,"about_ca_system_score_gemma":0.0002877151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002105243,"about_ca_topic_score_gemma":0.0001065364,"domain_scores_codex":[0.9980105,0.0003317212,0.0007064088,0.0002960838,0.0003571689,0.0002981219],"domain_scores_gemma":[0.9982733,0.00003693596,0.0003245771,0.00009196043,0.0008402157,0.000433087],"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":[0.00322324,0.0002441289,0.001343715,0.001111473,0.0005449667,0.0006199169,0.006646862,0.0005602021,0.0005351763,0.0001192834,0.6907498,0.2943012],"study_design_scores_gemma":[0.06500795,0.09720235,0.06748176,0.0242721,0.003403293,0.006455673,0.1816772,0.2166267,0.001612325,0.0004907508,0.3331485,0.002621387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6774696,0.009346573,0.006597068,0.3044966,0.0000709476,0.001695641,0.0001227566,0.0000234262,0.0001774147],"genre_scores_gemma":[0.9932638,0.001071122,0.001980091,0.00276881,0.0002001983,0.0001177346,0.00006782236,0.0000439911,0.0004864041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3576013,"threshold_uncertainty_score":0.7846445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153957124987798,"score_gpt":0.3067480821544102,"score_spread":0.2852085109045323,"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."}}