{"id":"W4301398914","doi":"10.1016/j.neurom.2022.08.303","title":"PO130 / #769 CONVENTIONAL MEDICAL MANAGEMENT VS CERVICAL SPINAL CORD STIMULATION FOR MANAGEMENT OF CHRONIC CLUSTER HEADACHE: A MARKOV DECISION ANALYSIS","year":2022,"lang":"en","type":"article","venue":"Neuromodulation Technology at the Neural Interface","topic":"Pain Management and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Cluster headache; Quality of life (healthcare); Occipital nerve stimulation; Neuromodulation; Depression (economics); Chronic pain; Stimulation; Comorbidity; Anesthesia; Physical therapy; Internal medicine; Migraine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005279118,0.0008763348,0.002092326,0.001007688,0.0005239637,0.001875095,0.001281321,0.001704517,0.02917073],"category_scores_gemma":[0.009811452,0.0007681157,0.002273699,0.0005847003,0.0009852406,0.001488284,0.0008189541,0.002403663,0.0007043805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002758012,"about_ca_system_score_gemma":0.003972671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002041,"about_ca_topic_score_gemma":0.01275164,"domain_scores_codex":[0.9984744,0.0008849986,0.00003999677,0.0001982628,0.00010098,0.000301434],"domain_scores_gemma":[0.9836257,0.01527213,0.000387528,0.00009283907,0.0002248254,0.0003969421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01008212,0.0007603302,0.007390794,0.0003318496,0.0006086602,0.0002316514,0.00004986065,0.9220433,0.0004785671,0.02360426,0.005072193,0.02934643],"study_design_scores_gemma":[0.0006041846,0.0004109255,0.001114083,0.00006621728,0.0002427381,0.00003413039,0.00002827359,0.9894634,0.0001455284,0.007528693,0.0003395203,0.00002219501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7255173,0.004025168,0.2195237,0.01031567,0.0005218391,0.001960015,0.007850228,0.0005670985,0.0297189],"genre_scores_gemma":[0.9743347,0.001044063,0.01201165,0.0006269655,0.0001469898,0.0004425386,0.001199868,0.00005608007,0.01013698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02917073,"threshold_uncertainty_score":0.0975858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153983061477078,"score_gpt":0.3313404716438434,"score_spread":0.3098006410290727,"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."}}