{"id":"W4283268983","doi":"10.6017/ital.v41i2.14683","title":"Explainable Artificial Intelligence (XAI)","year":2022,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Field (mathematics); Set (abstract data type); Library classification; Data science; Knowledge management; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003137128,0.0001333782,0.0001409184,0.0008760889,0.001145498,0.0004102929,0.001045248,0.0001025584,0.0001941726],"category_scores_gemma":[0.0001418052,0.0001420718,0.00002843866,0.001732903,0.0002757219,0.006321644,0.001255428,0.0003572547,0.0001584216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003524889,"about_ca_system_score_gemma":0.0001083458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000155215,"about_ca_topic_score_gemma":0.000001962892,"domain_scores_codex":[0.9987713,0.00004265874,0.0004258875,0.0002009374,0.0002233756,0.0003358906],"domain_scores_gemma":[0.9992059,0.00008447868,0.0001539446,0.0004414716,0.00006243679,0.00005177901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009550878,0.00001767293,0.00008700488,0.000009187904,0.000005058045,0.000005251777,0.001939017,0.0003399411,0.00003209048,0.8503582,0.0004736319,0.1467233],"study_design_scores_gemma":[0.00002594895,0.0001753842,0.00002373679,0.00000467402,0.000002203161,0.00006489653,0.009567793,0.02393423,0.04341073,0.8071698,0.115422,0.000198617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01726946,0.0003681271,0.9581357,0.01415703,0.0005155742,0.0003027194,0.0000087315,0.001294997,0.007947723],"genre_scores_gemma":[0.9772211,0.00002676316,0.0211821,0.001133057,0.00002143574,0.0001855826,0.00001147952,0.000005724547,0.0002127012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9599517,"threshold_uncertainty_score":0.8810362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658781599263557,"score_gpt":0.2217739927494473,"score_spread":0.2051861767568117,"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."}}