{"id":"W4386378172","doi":"10.1038/s41598-023-41424-7","title":"Cost-effective, portable, patient-dedicated three-dimensional automated breast ultrasound for point-of-care breast cancer screening","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"AI in cancer detection","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Schulich School of Medicine and Dentistry, Western University; Ontario Institute for Cancer Research","keywords":"Breast cancer; Medicine; Point of care; Medical physics; Computer science; Ultrasound; Breast cancer screening; Breast ultrasound; Gynecology; Radiology; Cancer; Mammography; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009110915,0.0005398124,0.0005247291,0.0007150443,0.0001903095,0.0006703464,0.0009677436,0.0007791585,0.002378497],"category_scores_gemma":[0.002649459,0.0004181786,0.0004802505,0.000413771,0.0003174761,0.0004574973,0.0009501495,0.0004142204,0.001141863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236241,"about_ca_system_score_gemma":0.0004871728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006713178,"about_ca_topic_score_gemma":0.001030138,"domain_scores_codex":[0.9988054,0.0003330217,0.00005051774,0.0001708734,0.0005922639,0.00004801707],"domain_scores_gemma":[0.9987959,0.0004724161,0.000160596,0.0002251068,0.0002759305,0.00007005351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005696465,0.000330536,0.01582609,0.0006060629,0.0001108569,0.0006278299,0.0002759199,0.006050385,0.4715573,0.001010383,0.008133444,0.4949015],"study_design_scores_gemma":[0.0003306324,0.004327121,0.1059632,0.0003216703,0.0005579154,0.02193527,0.0003080743,0.1750681,0.6099311,0.002456181,0.07820866,0.0005921717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2372243,0.004431992,0.7435992,0.000937049,0.0002055909,0.0009341995,0.0009044086,0.007600285,0.004162905],"genre_scores_gemma":[0.550119,0.001640643,0.4434355,0.0009425189,0.0001712645,0.0004886211,0.0007193254,0.0003574433,0.00212556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002378497,"threshold_uncertainty_score":0.007956862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798125655363969,"score_gpt":0.2813765889921445,"score_spread":0.2633953324385048,"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."}}