{"id":"W4381326147","doi":"10.1186/s13058-023-01659-8","title":"Meeting Abstracts from the British Society of Breast Radiology Annual Scientific Meeting 2022","year":2023,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"Royal Commission for the Exhibition of 1851","keywords":"Surgical oncology; Medicine; Medical physics; Breast cancer; General surgery; Internal medicine; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.006165672,0.0001276598,0.0003299674,0.0001060673,0.001132773,0.0002478232,0.0004479089,0.0001111994,0.0003214438],"category_scores_gemma":[0.0006006214,0.0001053934,0.0001723657,0.001339717,0.001200557,0.00008997911,0.0003535165,0.001324752,0.0000435062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487165,"about_ca_system_score_gemma":0.0006328043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04224502,"about_ca_topic_score_gemma":0.0005205792,"domain_scores_codex":[0.9966153,0.0003217313,0.0004096537,0.000547997,0.001278107,0.0008272481],"domain_scores_gemma":[0.9977527,0.0008963699,0.0001193688,0.0004070567,0.0005849281,0.0002395593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002202005,0.0001675939,0.1630808,0.0002739886,0.0003314821,0.0001901392,0.003045233,0.0009113383,0.07473379,0.00003521559,0.5425418,0.2144684],"study_design_scores_gemma":[0.001545012,0.00004379708,0.9482626,0.001544028,0.00005130962,0.00110678,0.004053477,0.01333351,0.0005180868,0.0002528304,0.02909724,0.0001913849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681825,0.001568402,0.00001008245,0.02711187,0.000456578,0.000313819,0.0005255648,0.00009255664,0.001738627],"genre_scores_gemma":[0.9949794,0.0007017785,0.0002578297,0.0003446014,0.001381523,0.00005545269,0.0001363651,0.00004942979,0.00209362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851818,"threshold_uncertainty_score":0.9641327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197477290872929,"score_gpt":0.3698126754279102,"score_spread":0.3378379025191809,"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."}}