{"id":"W4211246689","doi":"10.18438/eblip29816","title":"Evidence Based Library and Information Practice (EBLIP) is seeking an Editorial Intern","year":2020,"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":"","keywords":"Library science; Information seeking; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.02422057,0.002102047,0.00402864,0.007050487,0.00410671,0.01430312,0.005160167,0.02357101,0.03865453],"category_scores_gemma":[0.1019189,0.001281079,0.004081806,0.003495656,0.004662628,0.006950338,0.003213892,0.02450839,0.0186881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004662641,"about_ca_system_score_gemma":0.01041242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310049,"about_ca_topic_score_gemma":0.00539049,"domain_scores_codex":[0.9800764,0.003911161,0.002937076,0.001772371,0.01015324,0.001149719],"domain_scores_gemma":[0.8190935,0.06824373,0.008660715,0.004373596,0.07610012,0.02352843],"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":[0.00006352589,0.00002311259,0.00004563201,0.0009504044,0.00002710378,0.00007233171,0.00001661779,0.00001393569,0.00004440501,0.000535863,0.9858678,0.01233936],"study_design_scores_gemma":[0.0001315833,0.0000980366,0.000515766,0.003396396,0.0001270756,0.000221119,0.0001477308,0.0001241129,0.0001391635,0.001921566,0.9931388,0.00003859215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003181787,0.004543466,0.0001043998,0.05699663,0.9364914,0.00004686367,0.0000404983,0.00004492079,0.001699919],"genre_scores_gemma":[0.0006811944,0.008424348,0.0003084744,0.04409372,0.9370316,0.00006716232,0.00007250734,0.00005467412,0.009266254],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03865453,"threshold_uncertainty_score":0.1293123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08562028641784343,"score_gpt":0.4196840100421679,"score_spread":0.3340637236243245,"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."}}