{"id":"W3201395773","doi":"10.1007/978-3-030-86365-4_54","title":"Uncertainty Quantification and Estimation in Medical Image Classification","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Medical imaging; Uncertainty quantification; Deep neural networks; Machine learning; Deep learning; Variety (cybernetics); Artificial neural network; Medical decision making; Estimation; Data mining","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":[0.004095718,0.0007206426,0.001703318,0.002282501,0.0005039654,0.002782783,0.001746538,0.001643348,0.001757115],"category_scores_gemma":[0.01396328,0.0009282748,0.001134919,0.002574323,0.002521032,0.003549535,0.002161443,0.002016183,0.0004325472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468769,"about_ca_system_score_gemma":0.0007239346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046932,"about_ca_topic_score_gemma":0.001950738,"domain_scores_codex":[0.9980994,0.0007376783,0.0001393417,0.0002507862,0.0006932478,0.00007960106],"domain_scores_gemma":[0.9918072,0.00689532,0.0003519092,0.0003488435,0.0005262677,0.00007055092],"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":[0.00007642592,0.00003918609,0.0006468021,0.0006210123,0.0001165392,0.00007646216,0.0002275535,0.3071731,0.003059515,0.2714416,0.005769947,0.4107518],"study_design_scores_gemma":[0.000002592863,0.00002221278,0.0003687367,0.00007326811,0.00002383616,0.00006398212,0.00002635248,0.7931298,0.00137491,0.2016006,0.003287862,0.00002591821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001649642,0.005458974,0.9910337,0.0003661996,0.00006486037,0.00001391259,0.000038766,0.0000840134,0.001289973],"genre_scores_gemma":[0.2965921,0.0129398,0.6785101,0.000409883,0.0009675524,0.0002025253,0.0003225098,0.0002380181,0.009817582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004095718,"threshold_uncertainty_score":0.02166051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899668969504954,"score_gpt":0.3369286163341041,"score_spread":0.2979319266390546,"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."}}