{"id":"W1557784094","doi":"10.18438/b89s40","title":"Staffing an Academic Reference Desk with Librarians is not Cost-effective","year":2009,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reference desk; Staffing; Phone; Desk; Library science; Computer science; World Wide Web; Management","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":[0.01946773,0.0005840145,0.0006559138,0.003641378,0.003003408,0.00828172,0.002597193,0.001366523,0.01296699],"category_scores_gemma":[0.1201102,0.0006027598,0.0009119731,0.005243456,0.002152767,0.00737537,0.003327094,0.001547031,0.004863178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01108646,"about_ca_system_score_gemma":0.0112785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458161,"about_ca_topic_score_gemma":0.0294901,"domain_scores_codex":[0.9627888,0.01547111,0.002393516,0.001923564,0.01503474,0.002388305],"domain_scores_gemma":[0.8657253,0.05643772,0.01757575,0.01277502,0.03724248,0.01024366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004084055,0.0004734524,0.04971155,0.001509995,0.0001878417,0.0001535403,0.003089751,0.0007687259,0.001353498,0.004394201,0.04220761,0.8957416],"study_design_scores_gemma":[0.0005511377,0.004426238,0.5876123,0.004831347,0.0006501065,0.00181187,0.04612544,0.004956688,0.005345272,0.01522298,0.3280134,0.0004532562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7068652,0.0169265,0.01758003,0.09330864,0.002025601,0.001320566,0.001225428,0.00175976,0.1589884],"genre_scores_gemma":[0.9526734,0.005305997,0.01987712,0.006869826,0.0008415242,0.0003936847,0.0005590559,0.0002294606,0.01324993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01946773,"threshold_uncertainty_score":0.1029564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577556266175922,"score_gpt":0.2622310102457596,"score_spread":0.2364554475840004,"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."}}