{"id":"W3082529179","doi":"10.1016/j.ejro.2020.100265","title":"Tailored breast imaging during the first wave and preparedness for the second wave of COVID-19 pandemic","year":2020,"lang":"en","type":"review","venue":"European Journal of Radiology Open","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Women's College Hospital; University Health Network","funders":"","keywords":"Medicine; Pandemic; Preparedness; Coronavirus disease 2019 (COVID-19); Breast cancer; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Medical physics; Cancer; Pathology; Infectious disease (medical specialty); Disease; Internal medicine","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":[0.003685362,0.0003603602,0.002131825,0.000150856,0.0003508616,0.00006930061,0.0008269448,0.00008181362,0.0001272753],"category_scores_gemma":[0.001415795,0.0001785295,0.0004617299,0.0001740598,0.0003901529,0.0001108956,0.0004697864,0.0009752708,0.000003458812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003431393,"about_ca_system_score_gemma":0.002128466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002275814,"about_ca_topic_score_gemma":0.00003803732,"domain_scores_codex":[0.9966588,0.001140983,0.001335848,0.0003381061,0.0001717594,0.0003544834],"domain_scores_gemma":[0.9950445,0.002063027,0.001764108,0.0004752162,0.0001855585,0.000467649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002486211,0.00006041241,0.001924743,0.04629846,0.002374868,0.003385222,0.009648603,0.00000514955,0.00001386314,0.00004596409,0.0260002,0.9077563],"study_design_scores_gemma":[0.002181485,0.0003824847,0.00239564,0.003738677,0.001102923,0.09111796,0.0004438745,0.00001873949,2.885977e-7,0.00001468813,0.898453,0.0001502626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007032849,0.9850841,0.0002091268,0.01081751,0.0003907108,0.00230575,0.0001656981,0.00001168811,0.0003121164],"genre_scores_gemma":[0.009650264,0.9851803,0.0001036317,0.003486612,0.001147431,0.0000168081,0.00001637858,0.00009322574,0.0003053854],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9076061,"threshold_uncertainty_score":0.7280222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.152085214228083,"score_gpt":0.4055086150989172,"score_spread":0.2534234008708342,"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."}}