{"id":"W2497458439","doi":"10.1002/epi4.3","title":"Not all that glitters is gold: A guide to the critical interpretation of drug trials in epilepsy","year":2016,"lang":"en","type":"review","venue":"Epilepsia Open","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Hotchkiss Brain Institute; University of Calgary","funders":"Agenzia Italiana del Farmaco, Ministero della Salute; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; University of Calgary","keywords":"Blinding; Randomized controlled trial; Randomization; Confounding; Critical appraisal; External validity; Medicine; Clinical study design; Internal validity; Clinical trial; Publication bias; Evidence-based medicine; Affect (linguistics); Psychology; Clinical psychology; Meta-analysis; Alternative medicine; Social psychology; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2950863,0.007681092,0.01066864,0.01884189,0.004408035,0.01900931,0.01762672,0.02310725,0.01142879],"category_scores_gemma":[0.483798,0.005083813,0.007775557,0.01158228,0.0303766,0.01670114,0.0117551,0.04426033,0.01616242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0108321,"about_ca_system_score_gemma":0.04324835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006380368,"about_ca_topic_score_gemma":0.01001763,"domain_scores_codex":[0.6451484,0.2816373,0.03813818,0.005180369,0.02849504,0.001400733],"domain_scores_gemma":[0.426195,0.4518946,0.02583478,0.02189169,0.06249759,0.01168626],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005137018,0.0001990591,0.0002995304,0.01149697,0.0006603163,0.0006113568,0.004215088,0.001794358,0.0008187491,0.06633874,0.7761102,0.136942],"study_design_scores_gemma":[0.000623023,0.0003260933,0.0005448504,0.02401217,0.0002203722,0.0006498997,0.001242255,0.003644329,0.0003903061,0.2172423,0.7508271,0.0002773479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0004616488,0.1370196,0.3089718,0.4622357,0.05876185,0.01138397,0.00179428,0.004182838,0.01518835],"genre_scores_gemma":[0.005354007,0.06872591,0.7511825,0.09972089,0.03322176,0.02966284,0.0008942977,0.001792262,0.00944559],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7049137,"threshold_uncertainty_score":0.8692841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1511048790523591,"score_gpt":0.4899774000978004,"score_spread":0.3388725210454414,"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."}}