{"id":"W4309786421","doi":"10.3390/app122211750","title":"Explainable-AI in Automated Medical Report Generation Using Chest X-ray Images","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transparency (behavior); Computer science; Trustworthiness; Field (mathematics); Data science; Computer security","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":[0.008438949,0.0009288251,0.0004822375,0.005583059,0.0006017894,0.00308,0.001826691,0.001573052,0.004009033],"category_scores_gemma":[0.03630215,0.0005078667,0.001449877,0.00348122,0.001360678,0.003822698,0.00168302,0.001380996,0.0009832971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250128,"about_ca_system_score_gemma":0.001538335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881913,"about_ca_topic_score_gemma":0.003787278,"domain_scores_codex":[0.9933176,0.003943212,0.0006710346,0.0005939433,0.001335576,0.000138602],"domain_scores_gemma":[0.9677452,0.02705229,0.001874521,0.001474323,0.001710969,0.0001426649],"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":[0.0002239073,0.0001296137,0.007256362,0.007303596,0.0003207395,0.001223736,0.004131372,0.01424831,0.005719493,0.04478676,0.009197131,0.905459],"study_design_scores_gemma":[0.0002344188,0.0006138748,0.02670841,0.0156115,0.001504556,0.007254133,0.005874927,0.2234127,0.05022036,0.2538083,0.4142875,0.0004693363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0296217,0.07740792,0.8648574,0.007340214,0.00036385,0.001226671,0.001556797,0.003166656,0.01445867],"genre_scores_gemma":[0.2331481,0.03586412,0.7235129,0.0009846303,0.0002754419,0.0006785359,0.002253254,0.0003014556,0.002981498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008438949,"threshold_uncertainty_score":0.04462993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05818764195076393,"score_gpt":0.3276504473786448,"score_spread":0.2694628054278809,"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."}}