{"id":"W2890021668","doi":"10.1080/02763877.2018.1515688","title":"Online Chat Reference: Question Type and the Implication for Staffing in a Large Academic Library","year":2018,"lang":"en","type":"article","venue":"The Reference Librarian","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Staffing; Academic library; Questions and answers; Computer science; Reference desk; Service (business); Frequently asked questions; Library science; World Wide Web; Digital reference; Psychology; Information retrieval; Medical education; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.04709056,0.0003614796,0.0005616958,0.003852827,0.002657333,0.004063481,0.001680959,0.001616466,0.004076192],"category_scores_gemma":[0.2660213,0.0005095046,0.0004475022,0.00212327,0.002350339,0.004880813,0.003878892,0.001014889,0.001116028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0040768,"about_ca_system_score_gemma":0.003609146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00679956,"about_ca_topic_score_gemma":0.00939693,"domain_scores_codex":[0.9441586,0.04083327,0.003740801,0.002661164,0.006638076,0.001968063],"domain_scores_gemma":[0.5796126,0.34464,0.03023836,0.007842542,0.02981338,0.007853039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00153181,0.0007253313,0.4377981,0.001159982,0.00009382219,0.001467211,0.3475396,0.0009062266,0.008554927,0.001622421,0.002235539,0.1963651],"study_design_scores_gemma":[0.00007570913,0.0017488,0.5923564,0.001124086,0.0001394379,0.002603526,0.3674747,0.008323266,0.007695476,0.004675553,0.01349709,0.0002859056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988183,0.0003621116,0.004873434,0.001328135,0.0000391135,0.0001649191,0.00006718736,0.0001604724,0.004821637],"genre_scores_gemma":[0.993846,0.0001597133,0.003950674,0.0003367717,0.00005128844,0.0001134419,0.00006062617,0.00003920477,0.001442211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04709056,"threshold_uncertainty_score":0.2490417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702043916346777,"score_gpt":0.3483341242623096,"score_spread":0.3013136850988419,"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."}}