{"id":"W4404418421","doi":"10.1111/papr.13438","title":"<scp>UK</scp> medical cannabis registry: A clinical outcome analysis of medical cannabis therapy in chronic pain patients with and without co‐morbid sleep impairment","year":2024,"lang":"en","type":"article","venue":"Pain Practice","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cohort; Anxiety; McGill Pain Questionnaire; Cohort study; Brief Pain Inventory; Chronic pain; Depression (economics); Sleep (system call); Population; Physical therapy; Prospective cohort study; Internal medicine; Psychiatry; Visual analogue scale","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":[0.0009794006,0.0001872819,0.0005408494,0.001047002,0.0004677998,0.0007433741,0.0005459543,0.000472143,0.003204321],"category_scores_gemma":[0.004087056,0.0002427796,0.0004844836,0.002426451,0.0003186836,0.0005195772,0.001022548,0.0005126594,0.0006594986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971754,"about_ca_system_score_gemma":0.000903483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775612,"about_ca_topic_score_gemma":0.01924545,"domain_scores_codex":[0.9988651,0.0002778634,0.0002255679,0.0001796461,0.0003025305,0.0001492867],"domain_scores_gemma":[0.9949194,0.0004744638,0.003320535,0.0002701117,0.0004166725,0.0005988571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004169785,0.00004472232,0.9974252,0.00006380056,0.00006451557,0.00009676201,0.00008686016,0.00002125602,0.00008699072,0.00001379979,0.0004432298,0.001235839],"study_design_scores_gemma":[0.00003214568,0.00008914006,0.9993942,0.00001798082,0.00001899265,0.000159664,0.00006455515,0.00004023639,0.00001732187,0.000003508455,0.0001592975,0.000002953683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947266,0.0003530592,0.00003113555,0.00006324904,0.000007151587,0.00009579674,0.004087108,0.000003647712,0.0006323517],"genre_scores_gemma":[0.9957891,0.0001592872,0.00007004914,0.0000538411,0.00001921436,0.0001015776,0.003591999,0.000003180646,0.0002117769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775612,"threshold_uncertainty_score":0.0353055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420691339010814,"score_gpt":0.393400087583934,"score_spread":0.3691931741938259,"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."}}