{"id":"W4205128884","doi":"10.3390/biomedinformatics2010009","title":"State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification","year":2022,"lang":"en","type":"article","venue":"BioMedInformatics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Austrian Science Fund","keywords":"Python (programming language); Interpretability; Computer science; Oligodendroglioma; Documentation; Glioma; Glioblastoma; Artificial intelligence; Analytics; Machine learning; Natural language processing; Astrocytoma; Data science; Programming language; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007222541,0.0001560679,0.0001859524,0.000122364,0.0001534922,0.00002249292,0.0003559946,0.00005466668,0.00002598886],"category_scores_gemma":[0.0001114348,0.0001168536,0.0001172346,0.0005805232,0.0001733413,0.000009835989,0.0002292534,0.0001319274,0.000001951749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008071915,"about_ca_system_score_gemma":0.00009471536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007013395,"about_ca_topic_score_gemma":0.000005283352,"domain_scores_codex":[0.9986508,0.0001486901,0.0004347948,0.000185029,0.000388472,0.0001921647],"domain_scores_gemma":[0.998789,0.00004002714,0.0003440959,0.0006331221,0.0001331132,0.00006071064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000231234,0.0004179294,0.0008975199,0.00007358249,0.0001716853,0.000001770274,0.0002923519,0.0001082403,0.9140602,0.00004713976,0.05018858,0.03350977],"study_design_scores_gemma":[0.0003215253,0.0007752529,0.0002644105,0.00000500447,0.00006009839,0.00001156112,0.0004555178,0.006256129,0.9314028,0.00009636607,0.06016504,0.0001862919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444171,0.00006865934,0.1520557,0.000377158,0.00006385521,0.0006349075,0.0000907518,0.00004861022,0.002243237],"genre_scores_gemma":[0.9880443,0.00001407787,0.010955,0.0001613434,0.00001739134,0.00007871222,0.0003095912,0.00001836178,0.0004012682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436271,"threshold_uncertainty_score":0.4765153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279036888979166,"score_gpt":0.3127530253599188,"score_spread":0.2999626564701271,"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."}}