{"id":"W4400433113","doi":"10.1093/mam/ozae057","title":"Bridging Histopathology and Radiomics Toward Prognosis of Metastasis in Early Breast Cancer","year":2024,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Radiomics; Histopathology; Feature selection; Breast cancer; Medicine; Artificial intelligence; Oncology; Radiology; Cancer; Internal medicine; Pathology; Computer science","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":[0.001673031,0.0008149597,0.0006197533,0.001320511,0.0001773669,0.0009945225,0.0003184264,0.0004687724,0.00070726],"category_scores_gemma":[0.003497236,0.0001823178,0.0005587414,0.0006061251,0.0004273005,0.0006402963,0.0008037102,0.0004537065,0.0003999858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344182,"about_ca_system_score_gemma":0.0003560251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547959,"about_ca_topic_score_gemma":0.002574104,"domain_scores_codex":[0.9994943,0.0002038972,0.00003901784,0.0001063546,0.00009339225,0.0000629932],"domain_scores_gemma":[0.9990537,0.0003312772,0.0002373697,0.0001426957,0.000179722,0.00005533368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001291905,0.0002775952,0.484925,0.0003581914,0.000511792,0.0004787307,0.0003261619,0.08807272,0.09754758,0.001314419,0.002858949,0.322037],"study_design_scores_gemma":[0.00002862623,0.0005554833,0.426049,0.0001109275,0.0003467567,0.001061442,0.000461454,0.5287896,0.03002563,0.008401154,0.004033263,0.0001367143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142196,0.00215512,0.07966072,0.0005856768,0.00006688898,0.00005840896,0.001045283,0.0006948782,0.001513415],"genre_scores_gemma":[0.9919562,0.0002755378,0.006871898,0.00004886699,0.00002651076,0.00001777503,0.0004464026,0.00001733768,0.0003394477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673031,"threshold_uncertainty_score":0.008847952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025818093090576,"score_gpt":0.2999705673691017,"score_spread":0.289712386438196,"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."}}