{"id":"W4297685013","doi":"10.1109/ichi54592.2022.00127","title":"Towards Trustworthy Artificial Intelligence in Healthcare","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Trustworthiness; Health care; Computer science; Health informatics; Informatics; Data science; Artificial intelligence; Big data; Knowledge management; Data mining; Internet privacy; Engineering","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":[0.01699673,0.0009922188,0.001112107,0.001439979,0.001578345,0.004847893,0.002234007,0.003270193,0.002146429],"category_scores_gemma":[0.05132323,0.00090904,0.001459666,0.001218541,0.004457732,0.007122639,0.007611127,0.005556811,0.0006584388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002456588,"about_ca_system_score_gemma":0.004405125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652025,"about_ca_topic_score_gemma":0.00305873,"domain_scores_codex":[0.9802387,0.01154483,0.001290424,0.002026014,0.004315281,0.0005848311],"domain_scores_gemma":[0.954238,0.02972737,0.003660873,0.007950776,0.003460486,0.0009624955],"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":[0.0004858874,0.0003216148,0.009531717,0.001500617,0.0006807513,0.001442301,0.005505957,0.1547601,0.006827835,0.5884374,0.01431638,0.2161894],"study_design_scores_gemma":[0.00007033956,0.0001229266,0.0009123292,0.0003398737,0.000147192,0.0004083787,0.0006833508,0.3530371,0.003542803,0.6145298,0.02614476,0.00006099283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01875408,0.002033876,0.9501377,0.0226677,0.0001899578,0.0002115244,0.0001329961,0.0005497021,0.005322421],"genre_scores_gemma":[0.5463277,0.002668297,0.4441406,0.003352647,0.0004472008,0.0002514516,0.0004278695,0.0002285745,0.00215574],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01699673,"threshold_uncertainty_score":0.08988833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09984049810389588,"score_gpt":0.3520785432189064,"score_spread":0.2522380451150105,"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."}}