{"id":"W4306721435","doi":"10.32920/21291003.v1","title":"Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Breast cancer; Chemotherapy; Echogenicity; Medicine; Ultrasound; Oncology; Parametric statistics; Cancer; Radiology; Internal medicine","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":[0.0005394781,0.0002807506,0.0002459283,0.0007198786,0.00007548624,0.0005616803,0.0001383258,0.0003718263,0.001223395],"category_scores_gemma":[0.00265015,0.00008989622,0.0001585248,0.0003375134,0.0001771617,0.0003170019,0.000270401,0.0002869413,0.0003270781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358502,"about_ca_system_score_gemma":0.00008810601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643323,"about_ca_topic_score_gemma":0.000359696,"domain_scores_codex":[0.9998308,0.00006235401,0.00001154081,0.00002776649,0.00004578043,0.00002168336],"domain_scores_gemma":[0.9989817,0.000424089,0.0003100323,0.0000684808,0.0001305985,0.00008517908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003661586,0.0002682971,0.8052169,0.0001165,0.0001161172,0.0002901373,0.0002505817,0.007418768,0.05212759,0.0003529661,0.000906709,0.1292738],"study_design_scores_gemma":[0.00003362,0.0009738437,0.9281948,0.00002324409,0.00009683154,0.0007378441,0.0002676247,0.0479321,0.01917519,0.001152257,0.001371032,0.00004147487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987268,0.0004567765,0.01021114,0.0001530295,0.00001759048,0.00002978277,0.0004423539,0.0001130496,0.001308381],"genre_scores_gemma":[0.9980378,0.00007833791,0.00136011,0.00001537284,0.00001320148,0.00001216236,0.0001786372,0.000008891653,0.0002955365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001223395,"threshold_uncertainty_score":0.004092634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227364595065068,"score_gpt":0.276945269313958,"score_spread":0.2542088098074512,"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."}}