{"id":"W4362425403","doi":"10.1158/1055-9965.22437189.v1","title":"Supplementary Figure 1, Tables 1-2 from Differences in Natural History between Breast Cancers in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers and Effects of MRI Screening-MRISC, MARIBS, and Canadian Studies Combined","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural history; Oncology; Stage (stratigraphy); Internal medicine; Medicine; Cancer research; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001468925,0.001350434,0.0009613242,0.003432764,0.000958295,0.002419806,0.001656927,0.001185435,0.8387402],"category_scores_gemma":[0.03679004,0.0005792538,0.001501969,0.004896224,0.0002371921,0.001751654,0.001108618,0.001183673,0.2220703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557297,"about_ca_system_score_gemma":0.00423093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04205618,"about_ca_topic_score_gemma":0.07186794,"domain_scores_codex":[0.9989133,0.000148941,0.0001570428,0.0002778217,0.0003367819,0.0001660761],"domain_scores_gemma":[0.9703826,0.01983733,0.001881206,0.002099915,0.004544104,0.001254989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001189388,0.00004282953,0.002815928,0.0008097871,0.00007141097,0.00004463827,0.00003761278,0.0003696353,0.00007817109,0.001097156,0.9860986,0.008415225],"study_design_scores_gemma":[0.0008513385,0.0001178218,0.03881463,0.001443702,0.0002184118,0.0004564121,0.0002753537,0.00129286,0.0003702607,0.01349568,0.9425689,0.00009452079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000324337,0.00006625665,0.0004112629,0.000232372,0.0001377549,0.00003962433,0.9958461,0.0003636577,0.002578689],"genre_scores_gemma":[0.00829981,0.0004163502,0.004873533,0.000725394,0.0002504885,0.0004936924,0.9601048,0.001130618,0.02370534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9579438,"threshold_uncertainty_score":0.2300176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424431569744997,"score_gpt":0.2582859498811009,"score_spread":0.2440416341836509,"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."}}