{"id":"W4394198357","doi":"10.6084/m9.figshare.3814206.v2","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":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gabapentin; Neuropathic pain; Selection (genetic algorithm); Medicine; Inclusion (mineral); Anesthesia; Alternative medicine; 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":[0.00147256,0.0003347494,0.0007372149,0.00009953742,0.0005611819,0.00001500316,0.0005959605,0.0001819498,0.0003488556],"category_scores_gemma":[0.009680197,0.0001281256,0.0002293316,0.0002436117,0.0001670255,0.00005208206,0.0006723923,0.0003164052,9.065974e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002433723,"about_ca_system_score_gemma":0.00007127727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001380212,"about_ca_topic_score_gemma":0.0002478456,"domain_scores_codex":[0.997463,0.0005342464,0.0006728555,0.0003966664,0.0006931108,0.0002401007],"domain_scores_gemma":[0.9907953,0.006896842,0.001010465,0.0006269671,0.000608123,0.00006231423],"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":[0.0008293983,0.000251288,0.00001065813,0.001675296,0.0001367155,3.29338e-7,0.000388139,0.0001458551,0.01843493,0.00002151199,0.9749203,0.003185565],"study_design_scores_gemma":[0.00434732,0.004841489,0.001366701,0.03123347,0.001750608,0.0000104006,0.000673474,0.1053719,0.1068038,0.000134702,0.7428934,0.000572729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003220641,0.000360806,0.0002717997,0.009965318,0.0001660444,0.005252364,0.9807329,0.0000138635,0.00001622692],"genre_scores_gemma":[0.4461507,0.000682803,0.00003510978,0.007472644,0.001927902,0.002637294,0.5409207,0.00008403847,0.00008881738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.44293,"threshold_uncertainty_score":0.9986617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518307436151212,"score_gpt":0.3355948136247549,"score_spread":0.2837640700096337,"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."}}