{"id":"W4396807707","doi":"10.25259/sni_524_2023","title":"A cost effectiveness analysis of two treatment strategies for trigeminal neuralgia in Ontario","year":2024,"lang":"en","type":"article","venue":"Surgical Neurology International","topic":"Trigeminal Neuralgia and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Medicine; Trigeminal neuralgia; Formulary; Context (archaeology); Microvascular decompression; Incremental cost-effectiveness ratio; Cost effectiveness; Marginal cost; Cost–benefit analysis; Cost-effectiveness analysis; Emergency medicine; Surgery; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001091584,0.0001678862,0.0004823046,0.0006105023,0.00001753394,0.00002189341,0.00007576073,0.00008257737,0.0003860817],"category_scores_gemma":[0.00001615897,0.0001246287,0.0003819707,0.0003527317,0.00008210447,0.000079226,0.00001865277,0.0001765684,0.000008483506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876863,"about_ca_system_score_gemma":0.0002152586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004756542,"about_ca_topic_score_gemma":0.009861381,"domain_scores_codex":[0.9988651,0.00007295918,0.0003083793,0.0003823427,0.0001767822,0.0001944757],"domain_scores_gemma":[0.99885,0.0008566276,0.00004445887,0.0001174826,0.00006632016,0.0000651197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01111855,0.00139385,0.9459054,0.00007414442,0.004915924,0.006907508,0.0003447789,0.00146566,0.001298069,0.01970803,0.00002866887,0.00683944],"study_design_scores_gemma":[0.008828257,0.003145365,0.9581704,0.0000608146,0.002316956,0.0005614526,0.00001710535,0.01208786,0.001002891,0.001173206,0.01248418,0.0001515424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964938,0.00009376759,0.0001282281,0.0005895285,0.0004911463,0.0005180811,0.0000809759,0.0000336809,0.001570794],"genre_scores_gemma":[0.9987171,0.00001713334,0.00005161119,0.00004793402,0.00004502352,0.000195034,0.0002817069,0.00001175279,0.0006326807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853482,"threshold_uncertainty_score":0.7190501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435765404509552,"score_gpt":0.3858836073880076,"score_spread":0.3315259533429121,"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."}}