{"id":"W4391002280","doi":"10.4018/979-8-3693-0807-3.ch006","title":"Investigating Factors Affecting Artificial Intelligence (AI) Adoption by Libraries at Top-Rated Universities Worldwide","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in library and information science (ALIS) book series","topic":"AI in Service Interactions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université du Québec à Montréal","funders":"","keywords":"Maturity (psychological); Perception; Computer science; Knowledge management; Psychology; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004498918,0.0002132933,0.0002815908,0.002937423,0.001807056,0.007625293,0.0007233543,0.0006859243,0.006633922],"category_scores_gemma":[0.02157217,0.0001856468,0.0002813557,0.004563683,0.001097826,0.004240804,0.001995277,0.0009053089,0.001103629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142454,"about_ca_system_score_gemma":0.00204165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009527065,"about_ca_topic_score_gemma":0.01265146,"domain_scores_codex":[0.9959834,0.001294708,0.0002908462,0.0002551765,0.001693111,0.0004827584],"domain_scores_gemma":[0.9723684,0.01174424,0.007619784,0.0004846273,0.004940437,0.002842397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008136965,0.0003233198,0.7850599,0.0003948767,0.00006453834,0.0004751397,0.09893446,0.0002519533,0.0009972947,0.002358589,0.003435296,0.1076233],"study_design_scores_gemma":[0.000004876324,0.0001678255,0.7661595,0.0002318319,0.00002819489,0.000261828,0.2218918,0.0003672389,0.0004396246,0.0003450492,0.01005817,0.00004399247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883233,0.000966848,0.0002221762,0.001096182,0.00001515189,0.00001641507,0.00006069744,0.00002010372,0.00927909],"genre_scores_gemma":[0.9960362,0.000968533,0.0002301057,0.000175933,0.00002562605,0.00001418236,0.00008889555,0.000007269299,0.002453205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9923747,"threshold_uncertainty_score":0.0237928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215405413075382,"score_gpt":0.2408576336542374,"score_spread":0.2287035795234836,"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."}}