{"id":"W2781678589","doi":"10.1371/journal.pone.0189634","title":"Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Institutes of Health Research; Terry Fox Foundation; Breast Cancer Society of Canada","keywords":"Medicine; Breast cancer; Neoadjuvant therapy; Chemotherapy; Ultrasound; Oncology; Breast ultrasound; Biopsy; Radiation therapy; Radiology; Internal medicine; Cancer; Pathological; Biomarker; Mammography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008399181,0.000168753,0.0002115238,0.00004205704,0.00009712137,0.00001382929,0.00008048729,0.00008209462,0.000006003126],"category_scores_gemma":[0.0001006454,0.0001554953,0.00003771065,0.00009309394,0.0001827073,0.0000069421,0.0000578127,0.00005511935,7.053375e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004142992,"about_ca_system_score_gemma":0.00003900444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436043,"about_ca_topic_score_gemma":0.0000208968,"domain_scores_codex":[0.9991178,0.00007281006,0.0001420379,0.0002959733,0.0001787135,0.0001926802],"domain_scores_gemma":[0.9993169,0.00003999187,0.000116586,0.0001875722,0.0002908088,0.00004815255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001312042,0.0003052099,0.2631315,0.0000228239,0.0004861207,6.81315e-7,0.0003863541,0.000001555042,0.733646,0.000003329219,0.00001787238,0.0006864607],"study_design_scores_gemma":[0.0006512083,0.0001924152,0.4672405,0.0001753866,0.00006872364,0.000002829399,0.0001006652,0.000003256933,0.5314372,0.00001235873,0.000007708537,0.0001077343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973769,0.002029601,0.000055443,0.0001682193,0.00005535602,0.000162458,0.0001047062,0.000009187923,0.00003810463],"genre_scores_gemma":[0.9938813,0.0005147858,0.005294858,0.00009126838,0.0001333542,0.00001814583,0.0000100643,0.00003084394,0.00002533484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204109,"threshold_uncertainty_score":0.6340913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103385456413743,"score_gpt":0.2787849819326266,"score_spread":0.2577511273684892,"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."}}