{"id":"W4390032433","doi":"10.5860/ital.v42i4.16511","title":"Reference Chatbots in Canadian Academic Libraries","year":2023,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"AI in Service Interactions","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chatbot; World Wide Web; Service (business); Computer science; Conversation; Academic library; Library science; Internet privacy; Sociology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006218625,0.0004657517,0.0008259951,0.008182637,0.0245437,0.009187185,0.002758123,0.00126239,0.005532231],"category_scores_gemma":[0.02314725,0.0008052533,0.0004697875,0.0204829,0.004797669,0.002661838,0.005371579,0.001523118,0.0007974858],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09210389,"about_ca_system_score_gemma":0.1347209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745116,"about_ca_topic_score_gemma":0.9839225,"domain_scores_codex":[0.9903607,0.002069942,0.0005662435,0.000998926,0.003679427,0.002324765],"domain_scores_gemma":[0.9684294,0.007804557,0.00364081,0.0007870087,0.011691,0.00764727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007447971,0.0005997025,0.2393698,0.00162915,0.00007071716,0.003284022,0.5418611,0.0005742451,0.002340782,0.01231968,0.01775488,0.1794512],"study_design_scores_gemma":[0.00003224738,0.0002206346,0.3391527,0.0005625561,0.0000778481,0.0007584129,0.5428677,0.001381675,0.002090661,0.0005566417,0.1120166,0.0002823011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733556,0.002580327,0.0006149666,0.002311375,0.00005567123,0.0001696369,0.0005209509,0.0001906412,0.0202008],"genre_scores_gemma":[0.9879043,0.0021839,0.0007087446,0.0006275214,0.00001728525,0.00006064862,0.0002562543,0.00005652857,0.008184839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9908128,"threshold_uncertainty_score":0.6682637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583273499087931,"score_gpt":0.2403333767758181,"score_spread":0.2245006417849388,"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."}}