{"id":"W4377564016","doi":"10.1148/radiol.230935","title":"Standalone AI in Breast Cancer Screening: Where We Are and What Is to Be Achieved","year":2023,"lang":"en","type":"letter","venue":"Radiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Breast cancer; Mammography; MEDLINE; Breast imaging; Medical physics; Artificial intelligence; Gynecology; Cancer; Internal medicine; 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":[0.004980041,0.0005490883,0.001080042,0.0008626098,0.00316312,0.005321622,0.001451993,0.04637991,0.0100974],"category_scores_gemma":[0.02694361,0.0005879853,0.0008441785,0.0007244304,0.004349707,0.006265346,0.00182301,0.04112898,0.005976793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005158874,"about_ca_system_score_gemma":0.005246625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006280961,"about_ca_topic_score_gemma":0.01477038,"domain_scores_codex":[0.9954521,0.001916502,0.0004244548,0.0004027244,0.00114516,0.0006590736],"domain_scores_gemma":[0.9734983,0.0174177,0.001086777,0.0005021374,0.003255472,0.004239592],"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":[0.00008424525,0.00007157899,0.001721311,0.0001407386,0.00001956898,0.002015683,0.0001663571,0.0001368264,0.0003370733,0.007662244,0.9479442,0.03970012],"study_design_scores_gemma":[0.0001388913,0.0001797789,0.002521419,0.001185033,0.00004317082,0.008026001,0.001027905,0.001865602,0.0004552259,0.05297116,0.9314802,0.0001056855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002040805,0.001806519,0.0001425501,0.9924877,0.003139126,0.000002884632,0.000008659449,0.00001299662,0.002195489],"genre_scores_gemma":[0.008744252,0.005424615,0.0007328902,0.9204385,0.05881043,0.00002718476,0.00002711547,0.00002887272,0.005766184],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04637991,"threshold_uncertainty_score":0.03743041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661847674507099,"score_gpt":0.2786582009565708,"score_spread":0.2520397242114998,"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."}}