{"id":"W4399665507","doi":"10.18438/eblip30523","title":"Academic Libraries Can Develop AI Chatbots for Virtual Reference Services with Minimal Technical Knowledge and Limited Resources","year":2024,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"AI in Service Interactions","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; World Wide Web; Computer science; Analytics; Data science","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":[0.0119545,0.0007076198,0.000897068,0.009719297,0.001534524,0.00542035,0.002079823,0.001597794,0.04999378],"category_scores_gemma":[0.03381813,0.0006786253,0.001007118,0.008578101,0.001002682,0.008964337,0.004264106,0.001495479,0.03476937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279131,"about_ca_system_score_gemma":0.003690918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545806,"about_ca_topic_score_gemma":0.007327553,"domain_scores_codex":[0.9945808,0.002208737,0.0005735448,0.0003640862,0.001945662,0.0003272195],"domain_scores_gemma":[0.9736518,0.01471289,0.001539566,0.002328926,0.006136005,0.001630906],"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":[0.000116404,0.0002082616,0.001072445,0.006647224,0.00005334785,0.000189628,0.002447827,0.000279096,0.002321828,0.01326169,0.119451,0.8539512],"study_design_scores_gemma":[0.00002618936,0.0001004846,0.001220062,0.00120569,0.00003147186,0.0001339611,0.0007519212,0.0001461683,0.0007703558,0.001621389,0.9939656,0.00002677437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02397588,0.1866937,0.154222,0.0173102,0.004060853,0.002250634,0.002396643,0.02679183,0.5822982],"genre_scores_gemma":[0.1718578,0.1480609,0.3336951,0.02099508,0.002265007,0.005589315,0.007594711,0.006025917,0.3039162],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04999378,"threshold_uncertainty_score":0.1672459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991750886857791,"score_gpt":0.2831685063569669,"score_spread":0.263250997488389,"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."}}