{"id":"W2203346162","doi":"10.18438/b86w2b","title":"The 8th International Evidence Based Library and Information Practice Conference (EBLIP8): Special Issue and Reflections","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Southern Queensland; Queensland University of Technology; Charles Sturt University; State Library of New South Wales","keywords":"Library science; Computer science; Data science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04801685,0.001249886,0.00140763,0.003113017,0.003190613,0.01188261,0.004368593,0.02021719,0.03952029],"category_scores_gemma":[0.07740298,0.0009424022,0.002449378,0.002532989,0.003364716,0.009342275,0.009553405,0.03063736,0.01384798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006499541,"about_ca_system_score_gemma":0.01897867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596448,"about_ca_topic_score_gemma":0.008969464,"domain_scores_codex":[0.9818085,0.004664654,0.001857194,0.001067917,0.008374898,0.00222692],"domain_scores_gemma":[0.9186104,0.02776733,0.003784493,0.003276362,0.03282575,0.01373566],"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":[0.0001003728,0.00006717536,0.0002115343,0.0006927447,0.00001850878,0.00006707461,0.000130555,0.00003826238,0.000172996,0.001527122,0.9727131,0.02426051],"study_design_scores_gemma":[0.00004032156,0.00005769317,0.0008563047,0.00229654,0.00004741277,0.0001256257,0.0004931465,0.00006903,0.0004147365,0.001716149,0.9938549,0.00002808565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008958423,0.03109886,0.001487203,0.6275033,0.3208269,0.0001904659,0.0006171784,0.0001327935,0.0172474],"genre_scores_gemma":[0.0184592,0.05796591,0.01029671,0.5444065,0.2170464,0.0014098,0.003235702,0.0007786419,0.1464012],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9519832,"threshold_uncertainty_score":0.2539405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324968638642694,"score_gpt":0.4637048645668166,"score_spread":0.3312080007025472,"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."}}