{"id":"W4402817266","doi":"10.18438/eblip30598","title":"Call for an Editorial Intern With Evidence Based Library and Information Practice","year":2024,"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":false,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Data science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0234646,0.003541352,0.0056461,0.00887317,0.007129089,0.0181803,0.004463252,0.04552184,0.07948021],"category_scores_gemma":[0.1385939,0.002050928,0.008132225,0.003092265,0.004962078,0.01101215,0.005455392,0.03998735,0.04095465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005607446,"about_ca_system_score_gemma":0.009436985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785751,"about_ca_topic_score_gemma":0.006149278,"domain_scores_codex":[0.9719667,0.005247033,0.00536136,0.00266361,0.01303673,0.001724629],"domain_scores_gemma":[0.7933906,0.05917211,0.01852237,0.0082519,0.08917969,0.03148328],"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":[0.00004722644,0.00002699013,0.00007358604,0.0002906623,0.00002960224,0.0001464526,0.00001479954,0.000009317244,0.00003415952,0.0001341383,0.9935127,0.005680408],"study_design_scores_gemma":[0.0002586613,0.00008354632,0.0007130037,0.001674197,0.0001740255,0.0006061656,0.0003287953,0.0001230369,0.00009510946,0.002254215,0.9936287,0.00006055121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00003822499,0.001785643,0.0001390416,0.08770926,0.9086384,0.00006850492,0.00003657615,0.00006261976,0.001521735],"genre_scores_gemma":[0.0003551763,0.001495997,0.0004110251,0.109231,0.8773325,0.0001475335,0.00005681948,0.0000765071,0.01089351],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9205198,"threshold_uncertainty_score":0.2658877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06357245752790008,"score_gpt":0.4342907165490423,"score_spread":0.3707182590211422,"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."}}