{"id":"W4403729760","doi":"10.3390/curroncol31110486","title":"Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"AI in cancer detection","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Artificial intelligence; Machine learning; Ensemble learning; Cancer; Pathology; Medical physics; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581787,0.0001782271,0.0002314241,0.0001051295,0.0001564928,0.0001027515,0.000396994,0.0001114154,0.00006085894],"category_scores_gemma":[0.00001848037,0.0001387405,0.00005479574,0.0003109738,0.00009627065,0.0005291957,0.0002610007,0.0007983881,0.0000335597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839893,"about_ca_system_score_gemma":0.0002386738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002672162,"about_ca_topic_score_gemma":0.0001238064,"domain_scores_codex":[0.9983637,0.0001902951,0.0002198816,0.0006859475,0.0002243283,0.0003158459],"domain_scores_gemma":[0.9992709,0.0002062425,0.00009291422,0.0002605346,0.00007665323,0.00009273535],"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":[0.00007886855,0.000117874,0.01782255,0.00005797402,0.00003612518,0.0002417449,0.001830242,0.01182699,0.001420372,0.001834962,0.001660673,0.9630716],"study_design_scores_gemma":[0.0004198611,0.0004086285,0.00315139,0.0002071704,0.00004657804,0.0003997917,0.00003389633,0.9534063,0.0003199959,0.004214121,0.03712891,0.0002633468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0975672,0.01767842,0.8735932,0.002495062,0.005536899,0.0002008705,0.00004949928,0.00112757,0.001751259],"genre_scores_gemma":[0.9912779,0.0007833043,0.006952105,0.00006055148,0.0005797131,0.0001175108,0.000009845803,0.00002216895,0.0001968487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9628083,"threshold_uncertainty_score":0.5657672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07114679812488701,"score_gpt":0.3348856961619379,"score_spread":0.2637388980370509,"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."}}