{"id":"W2996417096","doi":"10.18438/eblip29624","title":"Local Users, Consortial Providers: Seeking Points of Dissatisfaction with a Collaborative Virtual Reference Service","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"University of Toronto","keywords":"Staffing; Service provider; Computer science; Service (business); World Wide Web; Scheduling (production processes); Type of service; Business; Medicine; Operations management; Marketing; Nursing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01837618,0.0001845316,0.0004492887,0.001527735,0.005488231,0.005382711,0.00100329,0.0009592043,0.0063529],"category_scores_gemma":[0.05490336,0.0003466009,0.0003214908,0.002480956,0.002550809,0.003043143,0.004093832,0.001017721,0.0007294752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003532133,"about_ca_system_score_gemma":0.00375861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167347,"about_ca_topic_score_gemma":0.01426204,"domain_scores_codex":[0.9857396,0.00946513,0.0007680355,0.0005925389,0.002307171,0.00112741],"domain_scores_gemma":[0.9569733,0.01955498,0.008749028,0.001940637,0.00732456,0.005457522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003120909,0.0002217685,0.5870451,0.0002587811,0.00005599219,0.001214647,0.3514715,0.0002304297,0.001593227,0.001716006,0.005370541,0.05050986],"study_design_scores_gemma":[0.00001667534,0.0003415762,0.1308961,0.000128706,0.00002910808,0.0004773707,0.8563162,0.001275354,0.0005578583,0.0004358177,0.00947551,0.00004983703],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940918,0.000111777,0.0009897869,0.001305974,0.00002032042,0.00002743873,0.0000347518,0.00003955442,0.003378543],"genre_scores_gemma":[0.9986558,0.00006264213,0.0003440639,0.0002194221,0.00001052909,0.00002143468,0.00002798448,0.0000096003,0.0006485817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837618,"threshold_uncertainty_score":0.0971837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238644130932136,"score_gpt":0.2671469314593049,"score_spread":0.2547604901499835,"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."}}