{"id":"W4238503611","doi":"10.18438/b86p8j","title":"Evidence Based Library and Information Practice Releases Special Issue on EBL 101","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Library science; World Wide Web; Data science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01373113,0.00111817,0.002291806,0.009092686,0.001638361,0.007689303,0.002838538,0.006922272,0.4099164],"category_scores_gemma":[0.08503903,0.001158807,0.002005478,0.006118476,0.001242388,0.006333163,0.004488233,0.005431735,0.1999185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0039519,"about_ca_system_score_gemma":0.01113387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004736627,"about_ca_topic_score_gemma":0.01093034,"domain_scores_codex":[0.9849402,0.002705581,0.002572785,0.0006040905,0.008577797,0.0005995441],"domain_scores_gemma":[0.9249728,0.02659312,0.004914189,0.004008007,0.03492576,0.004586118],"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":[0.0000506357,0.00004563631,0.00006840844,0.001132147,0.000009076663,0.00002640917,0.000018329,0.00001420993,0.0001038367,0.0006693328,0.9670287,0.03083327],"study_design_scores_gemma":[0.00004063646,0.00005006987,0.0009273676,0.003396561,0.00002527251,0.0000546035,0.00004199067,0.00002633,0.0001498614,0.00118647,0.9940848,0.00001602153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0007576522,0.06074994,0.002319046,0.1581391,0.2526278,0.001928245,0.01708772,0.00128385,0.5051066],"genre_scores_gemma":[0.005256105,0.0669025,0.004007976,0.06939874,0.09268096,0.001840927,0.02498026,0.001058025,0.7338745],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4099164,"threshold_uncertainty_score":0.8416826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862962358425499,"score_gpt":0.2824531109689811,"score_spread":0.2638234873847261,"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."}}