{"id":"W4224862650","doi":"10.1148/radiol.212361","title":"Contralateral Breast Screening with Preoperative MRI: Long-Term Outcomes for Newly Diagnosed Breast Cancer","year":2022,"lang":"en","type":"article","venue":"Radiology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Princess Margaret Cancer Centre; Women's College Hospital; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Breast cancer; Breast MRI; Hazard ratio; Proportional hazards model; Magnetic resonance imaging; Mammography; Retrospective cohort study; Radiology; Cancer; Internal medicine; Oncology; Surgery; Confidence interval","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":[0.0005644603,0.000131807,0.0002420657,0.0004164278,0.0002202071,0.000391664,0.0002143493,0.0002345928,0.001065386],"category_scores_gemma":[0.003396869,0.00008780299,0.0002619769,0.0004290798,0.0002741785,0.0004175967,0.0003454063,0.0002867321,0.00009335312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883169,"about_ca_system_score_gemma":0.0002467527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538239,"about_ca_topic_score_gemma":0.002343345,"domain_scores_codex":[0.9997618,0.00005353584,0.00002560001,0.00004161676,0.0000608901,0.00005658277],"domain_scores_gemma":[0.9969437,0.0006914769,0.001681215,0.0000840932,0.0001593588,0.0004401652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039401,0.0000114495,0.9976704,0.000007825043,0.00001234048,0.0001413421,0.00001021462,0.00003815631,0.00008575204,0.000006416326,0.00003893505,0.001873243],"study_design_scores_gemma":[0.000005318026,0.0001181837,0.9973484,0.0000109311,0.00003026771,0.001959899,0.000059994,0.0002139222,0.00008764419,0.00003104097,0.0001307754,0.000003546575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984252,0.0008705387,0.00007253348,0.00006155231,0.000009316037,0.000004501767,0.0001312561,0.00000212177,0.0004229771],"genre_scores_gemma":[0.9994755,0.0002309938,0.00004410315,0.00001561538,0.00002329669,0.0000025882,0.0001669183,8.304524e-7,0.000040129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065386,"threshold_uncertainty_score":0.003564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153569886103787,"score_gpt":0.2706801462831822,"score_spread":0.2591444474221443,"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."}}