{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578447,0.0005752956,0.0007542917,0.001690314,0.0001934176,0.0006785616,0.0004880539,0.000527798,0.0003810212],"category_scores_gemma":[0.002110409,0.0002081915,0.0008183062,0.0006801063,0.0001058967,0.0006611784,0.0004087542,0.0005402435,0.0002682216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814671,"about_ca_system_score_gemma":0.0003256674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621418,"about_ca_topic_score_gemma":0.004115273,"domain_scores_codex":[0.9995126,0.0001710529,0.00003046033,0.0001002553,0.0001173545,0.00006821323],"domain_scores_gemma":[0.999186,0.0003380163,0.0001063589,0.0001151768,0.0002188321,0.0000356974],"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":[0.0003601763,0.0003370355,0.05333832,0.00007268468,0.0003646912,0.0002030348,0.00008714313,0.4133875,0.01520154,0.0007734526,0.002293776,0.5135806],"study_design_scores_gemma":[0.00000273769,0.00004482529,0.004057789,0.000004963958,0.00003629478,0.00004492038,0.00001342611,0.9930655,0.001995286,0.000492368,0.000233872,0.000008047838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4729903,0.001474643,0.5209144,0.0003075554,0.0001140721,0.00008552607,0.000459439,0.001782216,0.001871766],"genre_scores_gemma":[0.9399155,0.0002542224,0.0585927,0.00004641073,0.00004416164,0.0000304234,0.0004277705,0.0000251528,0.0006636067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002621418,"threshold_uncertainty_score":0.00834775,"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."}}