{"id":"W4297477913","doi":"10.3390/info13100459","title":"Knowledge Graphs and Explainable AI in Healthcare","year":2022,"lang":"en","type":"article","venue":"Information","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Cape Breton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knowledge graph; Health care; Leverage (statistics); Computer science; Transparency (behavior); Knowledge management; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004788899,0.00006493111,0.00007386828,0.0003218275,0.0002839935,0.000131671,0.0003194632,0.00002263884,0.00001282464],"category_scores_gemma":[0.00003112994,0.00007302241,0.00001561595,0.0007519487,0.00001656828,0.003195391,0.0003142788,0.000170829,0.00006892461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276829,"about_ca_system_score_gemma":0.00008059393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005566421,"about_ca_topic_score_gemma":0.000118157,"domain_scores_codex":[0.9991897,0.00006485688,0.0002598829,0.0001031954,0.0001659772,0.0002164182],"domain_scores_gemma":[0.9995731,0.00003650589,0.00006366662,0.0002088009,0.00006870511,0.0000492142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007057125,0.00002772228,0.0009826501,0.00004016983,0.000001437496,0.000004024554,0.01525484,0.0009851886,0.00002955749,0.8823078,0.001752092,0.0986075],"study_design_scores_gemma":[0.0004401455,0.0004157714,0.006868618,0.00002660753,0.000001870887,0.0000687521,0.007069881,0.5388895,0.002771787,0.2397176,0.2032508,0.000478762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7516292,0.002240483,0.1730024,0.03903528,0.002535128,0.002034679,0.00001822144,0.001015603,0.02848899],"genre_scores_gemma":[0.9973956,0.00002177362,0.0008362563,0.001565253,0.00000517671,0.00009628647,0.000007587966,0.000002303742,0.00006981445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6425902,"threshold_uncertainty_score":0.2977768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815937583176166,"score_gpt":0.274958069201226,"score_spread":0.2567986933694644,"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."}}