{"id":"W3212509273","doi":"10.3390/make3040045","title":"A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence","year":2021,"lang":"en","type":"article","venue":"Machine Learning and Knowledge Extraction","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"","keywords":"Transparency (behavior); Computer science; Component (thermodynamics); Artificial intelligence; Knowledge management; Management science; Engineering","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":[0.001092954,0.000146424,0.000238145,0.0001823129,0.0005637202,0.0002032781,0.0001989635,0.00008853756,0.00002039151],"category_scores_gemma":[0.0009810526,0.0001203426,0.00009268065,0.0009545727,0.00008315199,0.0002578353,0.0001399266,0.0003381082,0.000007597641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002788923,"about_ca_system_score_gemma":0.00005563951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001653431,"about_ca_topic_score_gemma":0.0001607918,"domain_scores_codex":[0.9985819,0.00029138,0.000333386,0.0004272951,0.0001244112,0.0002415888],"domain_scores_gemma":[0.9970731,0.002177411,0.00016896,0.00026548,0.0002479466,0.00006716324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001051626,0.0004972726,0.002128991,0.0001298658,0.0003750182,0.00001499209,0.00821155,0.04707439,0.02676772,0.09364557,0.00001248225,0.821037],"study_design_scores_gemma":[0.00003622501,0.00008717148,0.0008308119,0.00003081785,0.0001191277,0.00001433733,0.001173096,0.9417075,0.04413404,0.01064906,0.001082284,0.0001355358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004657322,0.003848807,0.9904615,0.0005065777,0.0002196435,0.0002056351,0.000001126104,0.00006161611,0.00003781497],"genre_scores_gemma":[0.7927445,0.0004338103,0.206353,0.00001551894,0.00006353656,0.00004194806,0.000003272987,0.00000938037,0.0003350162],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8946331,"threshold_uncertainty_score":0.4907428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06261654919714393,"score_gpt":0.3471028790874849,"score_spread":0.2844863298903409,"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."}}