{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001574561,0.0003373399,0.0007775478,0.00009213205,0.0008798225,0.00002466609,0.0007638861,0.000188989,0.0002310657],"category_scores_gemma":[0.01238534,0.0001413559,0.0002372098,0.0001729456,0.0001902704,0.0000584206,0.0007810473,0.0003840344,8.815109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122721,"about_ca_system_score_gemma":0.00007641799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002247887,"about_ca_topic_score_gemma":0.0004017945,"domain_scores_codex":[0.9975614,0.0004775653,0.0006360703,0.0003985082,0.0006929027,0.0002335821],"domain_scores_gemma":[0.9918716,0.005373013,0.001274478,0.0008050218,0.0006139646,0.00006194309],"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":[0.0007782983,0.0002693384,0.00001441888,0.00195219,0.0001431129,4.391903e-7,0.0004598114,0.0002659255,0.01094337,0.00001425863,0.9826277,0.002531122],"study_design_scores_gemma":[0.003936842,0.004579198,0.002468194,0.02712109,0.002021779,0.00001101732,0.0007086394,0.1947245,0.07125296,0.0001063689,0.6925023,0.0005670561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004318846,0.0004066482,0.0001605538,0.008491281,0.0001937614,0.00571189,0.9806835,0.0000131961,0.00002033945],"genre_scores_gemma":[0.4421381,0.0004490505,0.00002984787,0.004442993,0.001369809,0.001837699,0.5496082,0.00005977249,0.00006451483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4378192,"threshold_uncertainty_score":0.9959338,"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."}}