{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003620977,0.000572112,0.0003557675,0.0007391242,0.0001676468,0.0004278831,0.0006406964,0.0008675899,0.002018607],"category_scores_gemma":[0.001383957,0.0002100849,0.0005930694,0.0003600574,0.000223273,0.0004494669,0.0003721497,0.0007978471,0.0002437385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006974868,"about_ca_system_score_gemma":0.0006341043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223246,"about_ca_topic_score_gemma":0.01454543,"domain_scores_codex":[0.9998811,0.00002413586,0.000006520496,0.00003919812,0.00002296975,0.00002594903],"domain_scores_gemma":[0.9995905,0.0002292777,0.00005158642,0.00002962819,0.0000787668,0.00002027396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005582504,0.0002609431,0.02021851,0.0001777218,0.0002893128,0.0005156203,0.00008226623,0.7394355,0.008850769,0.008329785,0.01049084,0.2107905],"study_design_scores_gemma":[0.000007235879,0.00002181505,0.001361433,0.000007181144,0.00002583505,0.00002900295,0.000004842185,0.9940455,0.0007289784,0.003284746,0.0004789007,0.000004532842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3018189,0.004705557,0.6780767,0.003363458,0.0004190762,0.00007987584,0.003930133,0.002946613,0.00465979],"genre_scores_gemma":[0.9679224,0.0006017625,0.02580962,0.0001998233,0.0001165129,0.00004059355,0.001324551,0.0000564521,0.003928298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01223246,"threshold_uncertainty_score":0.02432251,"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."}}