{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006190563,0.001345547,0.0006983392,0.003776264,0.001686477,0.006512971,0.002446296,0.003503109,0.01155862],"category_scores_gemma":[0.02125872,0.0004840022,0.00168226,0.002634963,0.009348512,0.008903654,0.00566851,0.004440845,0.00224027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003443487,"about_ca_system_score_gemma":0.003539877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003881976,"about_ca_topic_score_gemma":0.00251275,"domain_scores_codex":[0.9946424,0.002391888,0.0004418838,0.0007997718,0.001430787,0.0002932085],"domain_scores_gemma":[0.9884385,0.006620195,0.0009763284,0.002626007,0.001066683,0.000272222],"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":[0.000007312363,0.00001283144,0.0004807936,0.0002236562,0.00003770594,0.00007772403,0.000223401,0.001897434,0.0000969759,0.9729868,0.007681734,0.01627362],"study_design_scores_gemma":[0.000007728047,0.000009708686,0.0002512131,0.0002027493,0.00001967649,0.0001313625,0.0000685335,0.005044252,0.0002238392,0.9346309,0.05939133,0.00001871398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00796338,0.02018086,0.6460527,0.05125621,0.002586155,0.0003922663,0.001630837,0.002085917,0.2678517],"genre_scores_gemma":[0.5358685,0.03112561,0.3807197,0.01211175,0.003444348,0.001392857,0.003103582,0.0007635433,0.03147012],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01155862,"threshold_uncertainty_score":0.03866744,"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."}}