{"id":"W4387140868","doi":"10.1080/15323269.2023.2263011","title":"The Rise of AI: Implications and Applications of Artificial Intelligence in Academic Libraries","year":2023,"lang":"en","type":"article","venue":"Journal of Hospital Librarianship","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Cognitive science; Operations research; Sociology; Management; Computer science; Psychology; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01357376,0.0003956476,0.0005085766,0.005357365,0.008545502,0.02890602,0.001941845,0.00645918,0.01069224],"category_scores_gemma":[0.03303962,0.0004671027,0.0004952779,0.007468663,0.03601703,0.02563462,0.005804997,0.007284476,0.001590275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01113184,"about_ca_system_score_gemma":0.01092849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309512,"about_ca_topic_score_gemma":0.01697751,"domain_scores_codex":[0.9874582,0.008605299,0.0004500945,0.0005924019,0.002158609,0.0007353626],"domain_scores_gemma":[0.9390594,0.04880993,0.002007749,0.00172932,0.004745791,0.00364782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005766016,0.00005935872,0.002628861,0.000565808,0.0000187686,0.000301861,0.007183957,0.0005764132,0.0001198858,0.8265213,0.06537735,0.09658881],"study_design_scores_gemma":[0.00003189588,0.00004071974,0.002453348,0.001245768,0.00001683689,0.0003636257,0.01857127,0.001484287,0.0002849994,0.670219,0.3052231,0.00006512745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.006655471,0.0699078,0.006555018,0.7297643,0.002336365,0.00004200013,0.00007476132,0.0001592607,0.1845049],"genre_scores_gemma":[0.6565812,0.1588255,0.02363254,0.116787,0.01201212,0.0002400996,0.0001158913,0.0002411823,0.03156454],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02890602,"threshold_uncertainty_score":0.08076751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0491847930466359,"score_gpt":0.3418902527120591,"score_spread":0.2927054596654232,"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."}}