{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004336018,0.000165845,0.0002062942,0.0003731045,0.001262052,0.0003779201,0.001818961,0.0000589158,0.0001701698],"category_scores_gemma":[0.0002063894,0.0001625399,0.00003830737,0.002703388,0.0003335158,0.0008618495,0.0008292595,0.0002973274,0.00003108716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836232,"about_ca_system_score_gemma":0.0007745014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005151325,"about_ca_topic_score_gemma":0.00007243003,"domain_scores_codex":[0.9962969,0.0001554341,0.0005560451,0.0008571552,0.001534353,0.0006000769],"domain_scores_gemma":[0.9990088,0.0001245896,0.0001844303,0.0004840351,0.00006206886,0.0001360858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001666965,0.0006606527,0.003215271,0.00003251924,0.00001910698,0.003629841,0.006566998,0.3610481,0.2895314,0.2979538,0.0111363,0.02618935],"study_design_scores_gemma":[0.00008960311,0.00005776063,0.0003588378,0.000006112924,0.000002066507,0.0001939813,0.001332859,0.9652746,0.02730499,0.003211173,0.001908982,0.0002590421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6777064,0.0001645022,0.3001436,0.005652979,0.001422623,0.0007009479,0.000001885349,0.001056147,0.01315093],"genre_scores_gemma":[0.9751346,0.000004101363,0.02355917,0.0009802483,0.00009115528,0.0001253563,0.000004310565,0.000008339381,0.00009276214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6042265,"threshold_uncertainty_score":0.9706811,"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."}}