{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003277562,0.002313234,0.0006193427,0.003747378,0.0005892085,0.00481225,0.002158043,0.001029399,0.01680902],"category_scores_gemma":[0.0183609,0.0006277326,0.002830407,0.002488069,0.001017932,0.003630789,0.002526501,0.001956185,0.004501163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277716,"about_ca_system_score_gemma":0.001538155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618377,"about_ca_topic_score_gemma":0.004467141,"domain_scores_codex":[0.9980212,0.0006046643,0.0001601701,0.0005353842,0.0005587268,0.0001198324],"domain_scores_gemma":[0.9928139,0.004745623,0.0004024436,0.001192422,0.0006971261,0.0001485476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006096715,0.0003015719,0.01082153,0.003328273,0.0005188104,0.0006363664,0.001929489,0.04578009,0.01137482,0.06170996,0.05068678,0.8123026],"study_design_scores_gemma":[0.0001866117,0.0002024303,0.009324928,0.001245783,0.0003923189,0.0008869773,0.0008744644,0.4969098,0.04767025,0.2301055,0.2119338,0.0002671571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0119206,0.001574893,0.9132056,0.0009461677,0.00008790632,0.0001901255,0.00453197,0.05951085,0.008031918],"genre_scores_gemma":[0.200722,0.00318335,0.7603043,0.0006390596,0.0001712692,0.0006205981,0.01812609,0.009135156,0.007098198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01680902,"threshold_uncertainty_score":0.05623174,"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."}}