{"id":"W2921378440","doi":"10.18438/eblip29541","title":"Lexicomp Provides More Comprehensive Drug Information than Wikipedia in Small Sample Comparison","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Subcategory; Medicine; MEDLINE; Information retrieval; Family medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02275666,0.0005800594,0.001243626,0.002778649,0.0009882273,0.001652353,0.0008485682,0.001159566,0.01577393],"category_scores_gemma":[0.06086132,0.0004649577,0.002545474,0.00188993,0.0009096308,0.005177399,0.001924953,0.0008544804,0.00208645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009503143,"about_ca_system_score_gemma":0.00101285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481335,"about_ca_topic_score_gemma":0.00430946,"domain_scores_codex":[0.9820888,0.01109822,0.003439521,0.001361864,0.001661877,0.0003496447],"domain_scores_gemma":[0.9529346,0.03127939,0.006284988,0.00342724,0.005207825,0.0008660351],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1201298,0.01446886,0.4110586,0.05894645,0.03212624,0.001262775,0.02014571,0.000492335,0.0041265,0.005732768,0.02176193,0.309748],"study_design_scores_gemma":[0.029306,0.08110017,0.6812084,0.01254492,0.03736483,0.001341958,0.02176663,0.002799288,0.006503192,0.00947239,0.1160266,0.0005656683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343735,0.02119904,0.00742409,0.002546952,0.001320952,0.01400941,0.004986572,0.0001281549,0.01401139],"genre_scores_gemma":[0.966943,0.0024886,0.007979752,0.00221906,0.0004209859,0.01533337,0.00212385,0.00005140569,0.002439872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9772434,"threshold_uncertainty_score":0.1203502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193419877882213,"score_gpt":0.3111552554986384,"score_spread":0.2892210567198162,"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."}}