{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002893701,0.0007723781,0.0004560584,0.003389812,0.0006302179,0.003156649,0.00109973,0.001684117,0.003241858],"category_scores_gemma":[0.01050179,0.0003496064,0.001059543,0.002538926,0.003814166,0.004968891,0.001710244,0.001688121,0.0003676039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664282,"about_ca_system_score_gemma":0.001658632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0053036,"about_ca_topic_score_gemma":0.003818433,"domain_scores_codex":[0.9978032,0.001237999,0.000183094,0.0002903181,0.000395322,0.00009009877],"domain_scores_gemma":[0.990653,0.007570263,0.0005815231,0.0006579235,0.0004406634,0.00009663358],"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":[0.00002257343,0.00002212589,0.001046447,0.001474439,0.0001234299,0.0003079173,0.001000605,0.01996108,0.0003620043,0.8784375,0.003726232,0.09351575],"study_design_scores_gemma":[0.000007247404,0.00001649158,0.0006859258,0.001028018,0.00006650303,0.0002088515,0.0002742362,0.01878475,0.0003997613,0.9193636,0.05913436,0.00003022962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02055006,0.1371847,0.7623541,0.03328168,0.0006555105,0.0001843371,0.0009875803,0.0007540794,0.04404792],"genre_scores_gemma":[0.6363651,0.1117118,0.2400864,0.004220583,0.0006702634,0.0004140841,0.001479745,0.0001359408,0.004916245],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0053036,"threshold_uncertainty_score":0.0193308,"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."}}