{"id":"W4401610901","doi":"10.26481/dis.20240909zs","title":"Towards trustworthy artificial intelligence in medical imaging","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Trustworthiness; Computer science; Artificial intelligence; Medical imaging; Data science; Computer security","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":[0.04077959,0.001004423,0.001271841,0.003256873,0.001054445,0.008521615,0.00228755,0.003249799,0.002881358],"category_scores_gemma":[0.09020051,0.0008628577,0.001446498,0.001479379,0.01695271,0.01046325,0.006692879,0.006028652,0.0006658695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003427478,"about_ca_system_score_gemma":0.002736809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301078,"about_ca_topic_score_gemma":0.000888966,"domain_scores_codex":[0.9738398,0.0173116,0.001182495,0.001885353,0.005352949,0.0004278508],"domain_scores_gemma":[0.9054539,0.07076243,0.004288448,0.01279953,0.005871023,0.0008248438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000430172,0.00002587253,0.0007925997,0.0003776434,0.0001003115,0.00007322925,0.000778113,0.01557125,0.0005683881,0.9347435,0.002101978,0.04482411],"study_design_scores_gemma":[0.00001469956,0.00002615953,0.0002403971,0.0001737238,0.00001764376,0.00004042905,0.0001225466,0.03097171,0.0005433445,0.9588125,0.009019001,0.0000178746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00904466,0.006976858,0.9439258,0.02437621,0.0004099073,0.0001217868,0.000118006,0.000299165,0.01472754],"genre_scores_gemma":[0.432541,0.007280042,0.5494947,0.003731192,0.001397873,0.0003818363,0.0002521883,0.0003399818,0.004581068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04077959,"threshold_uncertainty_score":0.2156656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213973911715501,"score_gpt":0.3518645188657806,"score_spread":0.3397247797486256,"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."}}