{"id":"W2519394327","doi":"10.6084/m9.figshare.3814206.v3","title":"Gabapentin for Neuropathic Pain: An application to the 21st meeting of the WHO Expert Committee on Selection and Use of Essential Medicines for the inclusion of gabapentin on the WHO Model List of Essential Medicines","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gabapentin; Neuropathic pain; Medicine; Selection (genetic algorithm); Inclusion (mineral); Alternative medicine; Anesthesia; Computer science; Psychology; Artificial intelligence","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":[0.02596563,0.001890405,0.002891281,0.006436639,0.003047311,0.006729211,0.004356603,0.01605838,0.0907488],"category_scores_gemma":[0.04764909,0.001654204,0.005089496,0.004094452,0.002242547,0.004476947,0.007482355,0.01223347,0.08838344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004607584,"about_ca_system_score_gemma":0.02640048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630609,"about_ca_topic_score_gemma":0.02939879,"domain_scores_codex":[0.9804338,0.004661645,0.004028706,0.0006994031,0.008284532,0.001891861],"domain_scores_gemma":[0.9374272,0.01406399,0.004715424,0.002763103,0.03554726,0.005483128],"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":[0.00005112341,0.0000553789,0.0002094633,0.0005130547,0.00001495344,0.0001901586,0.00007624851,0.00007117495,0.0004451821,0.001073732,0.9663698,0.03092974],"study_design_scores_gemma":[0.0000764427,0.00003908401,0.001366318,0.001493694,0.00002654272,0.0001717063,0.00007451782,0.00009549552,0.0002691709,0.001256615,0.9950898,0.00004063176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.001617722,0.02876337,0.01666473,0.480235,0.05861789,0.02035396,0.02467894,0.004526983,0.3645414],"genre_scores_gemma":[0.008170804,0.04957873,0.06295498,0.3433068,0.04275156,0.01898313,0.03093375,0.003180337,0.4401399],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0907488,"threshold_uncertainty_score":0.303585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06409357888868461,"score_gpt":0.3566660732009158,"score_spread":0.2925724943122312,"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."}}