{"id":"W2906839937","doi":"10.1109/ultsym.2018.8579994","title":"Quantitative Ultrasound and Texture Predictors of Breast Tumour Response to Chemotherapy","year":2018,"lang":"en","type":"article","venue":"","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Medicine; Ultrasound; Receiver operating characteristic; Margin (machine learning); Support vector machine; Radiology; Cancer; Artificial intelligence; Internal medicine; Computer science; Machine learning","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":[0.0006888108,0.0002197928,0.0002382355,0.0006807343,0.00004928207,0.0002649103,0.00008817124,0.0002484977,0.0005673046],"category_scores_gemma":[0.003846286,0.00007864025,0.0001603032,0.0002751964,0.0001695447,0.0001604624,0.0001451137,0.0002060571,0.0001378164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010776,"about_ca_system_score_gemma":0.0000602638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005124031,"about_ca_topic_score_gemma":0.0004554817,"domain_scores_codex":[0.9997467,0.00009771538,0.00002508711,0.0000300962,0.00007267313,0.00002766882],"domain_scores_gemma":[0.9983069,0.0008521235,0.0004563127,0.00007495935,0.0002226515,0.00008711605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002135213,0.0001846531,0.8699194,0.0001055769,0.000119957,0.0001085837,0.0001019556,0.0084847,0.04229483,0.00007438118,0.0002821066,0.07618872],"study_design_scores_gemma":[0.00001710509,0.0006540789,0.9623806,0.00001112396,0.00004377476,0.000370757,0.00009616281,0.03126567,0.004763068,0.0001072872,0.0002793795,0.00001100155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967207,0.0004034854,0.002361052,0.00003237001,0.00000522442,0.00001420085,0.00009653824,0.00003328118,0.0003330523],"genre_scores_gemma":[0.99939,0.00004135043,0.0004232254,0.000005615456,0.000006392542,0.000005483648,0.00006235845,0.000001476804,0.00006400672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006888108,"threshold_uncertainty_score":0.003642797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007348735941935447,"score_gpt":0.2697560226253931,"score_spread":0.2624072866834576,"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."}}