{"id":"W7133422920","doi":"","title":"Explainable deep learning approach to predict chemotherapy effect on breast tumor’s MRI","year":2022,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Chemotherapy; Breast cancer; Artificial neural network; Magnetic resonance imaging","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000498617,0.0002336761,0.0003829161,0.0002006373,0.0003719477,0.00002689516,0.0002216082,0.00004171518,0.001583481],"category_scores_gemma":[0.00007075725,0.0002213839,0.0001338862,0.0005458038,0.00003483601,0.00004623429,0.0001281592,0.0006349165,0.0001254248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331305,"about_ca_system_score_gemma":0.00007826963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398715,"about_ca_topic_score_gemma":0.000003566793,"domain_scores_codex":[0.9980232,0.0001785029,0.0001953563,0.0005296948,0.0005870077,0.0004862732],"domain_scores_gemma":[0.9988963,0.0002306989,0.00006902384,0.0005004338,0.00003349116,0.0002700708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003785011,0.002997753,0.3849453,0.0006605195,0.0005042488,0.0005421039,0.005490739,0.0428502,0.004655552,0.0006920115,0.4968244,0.05605213],"study_design_scores_gemma":[0.007397021,0.01015658,0.08956654,0.000268279,0.0002652899,0.001525022,0.001731897,0.006384715,0.007225045,0.00004403527,0.8745621,0.000873469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248584,0.0003404676,0.0009802744,0.01649854,0.0006278536,0.002942918,0.00005961869,0.0006811917,0.1530108],"genre_scores_gemma":[0.990229,0.00007913582,0.0008036899,0.002987594,0.0003751476,0.001886094,0.00006365813,0.0001071035,0.003468634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3777377,"threshold_uncertainty_score":0.9993292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011009835310836,"score_gpt":0.2532897942876169,"score_spread":0.2431796959345085,"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."}}