{"id":"W4366507037","doi":"10.1109/icomet57998.2023.10099343","title":"Visualizing Research on Explainable Artificial Intelligence for Medical and Healthcare","year":2023,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Field (mathematics); Computer science; Data science; Health care; Artificial intelligence; China; Thematic map; Knowledge management; Political science; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008838524,0.0006206107,0.0005807188,0.01758029,0.001357654,0.01092274,0.0008059953,0.001702678,0.01114174],"category_scores_gemma":[0.0355366,0.0002909082,0.0009929546,0.02253048,0.004117266,0.009939881,0.002334653,0.001121145,0.001217351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005635134,"about_ca_system_score_gemma":0.004882492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412552,"about_ca_topic_score_gemma":0.00286634,"domain_scores_codex":[0.993802,0.003565334,0.0004105679,0.0004776517,0.001466508,0.0002778489],"domain_scores_gemma":[0.9639942,0.02718781,0.003073333,0.00171734,0.003411651,0.0006157007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006405706,0.00005833719,0.01105067,0.006401279,0.0002521856,0.0003403728,0.007222189,0.001879397,0.001121968,0.7226541,0.03503317,0.2139223],"study_design_scores_gemma":[0.00002876154,0.00006904879,0.01468899,0.009912637,0.0002050181,0.0005299067,0.01182603,0.003614231,0.00131335,0.4992317,0.4585232,0.00005724308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0645535,0.3742997,0.08576787,0.1451286,0.004326162,0.0003579115,0.002927802,0.0005891286,0.3220494],"genre_scores_gemma":[0.7194733,0.1941793,0.05382017,0.006722723,0.003224102,0.0003427204,0.002195806,0.0002424395,0.01979956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9824197,"threshold_uncertainty_score":0.04674309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.304014946362997,"score_gpt":0.5331454867421976,"score_spread":0.2291305403792006,"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."}}