{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0002930942,0.0002064184,0.0001491397,0.0003106444,0.000327935,0.002424695,0.0006345567,0.000113213,0.00007322991],"category_scores_gemma":[0.000352144,0.0001689237,0.00002242984,0.001115225,0.00004607181,0.6011347,0.0001310011,0.0003760095,0.00005204673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001402342,"about_ca_system_score_gemma":0.0004154881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001466973,"about_ca_topic_score_gemma":1.262016e-8,"domain_scores_codex":[0.9984559,0.0001837631,0.0003711575,0.0003055037,0.0004201727,0.0002635455],"domain_scores_gemma":[0.9978478,0.001160468,0.0003364453,0.0003478591,0.00006226505,0.0002451473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001450536,0.00008691226,0.001113862,0.00005141975,0.00002381099,0.00001561931,0.002404474,0.0003914613,0.00007455117,0.4779662,0.005200631,0.5112205],"study_design_scores_gemma":[0.0008061699,0.001397757,0.0274947,0.0003465086,0.00001616108,0.00007174919,0.0003939712,0.02818315,0.01403421,0.001008517,0.9256926,0.0005544864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04471094,0.00092312,0.4732029,0.3255176,0.00032593,0.004340162,0.00003164606,0.002860742,0.148087],"genre_scores_gemma":[0.6419351,0.0008095268,0.06350252,0.2925895,0.00007988792,0.0001273847,0.000043104,0.00001245014,0.0009005264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.920492,"threshold_uncertainty_score":0.9986109,"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."}}