{"id":"W2808117081","doi":"10.1186/s13058-018-0975-1","title":"Identifying an early treatment window for predicting breast cancer response to neoadjuvant chemotherapy using immunohistopathology and hemoglobin parameters","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Medicine; Breast cancer; Surgical oncology; Receiver operating characteristic; Internal medicine; Chemotherapy; Oncology; Stage (stratigraphy); Area under the curve; Complete response; Cancer; Gastroenterology; Biology","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":[0.0006212051,0.0001983207,0.0002198083,0.0004659909,0.0001168846,0.0002625325,0.000129262,0.0002210232,0.000631063],"category_scores_gemma":[0.001510695,0.00009976902,0.0001579788,0.0001842717,0.0001214987,0.0002202127,0.0001751555,0.0002630138,0.0001537945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455326,"about_ca_system_score_gemma":0.0001597764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004285868,"about_ca_topic_score_gemma":0.000729332,"domain_scores_codex":[0.9998535,0.00005715985,0.00001484945,0.00002696412,0.0000270105,0.00002041095],"domain_scores_gemma":[0.9991416,0.0003341291,0.0003157093,0.00004060549,0.00007774971,0.00009013226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003692194,0.00004724017,0.989055,0.0000073601,0.00001550644,0.00003653784,0.00003091112,0.0002115999,0.002046441,0.000006795026,0.00004624863,0.008127081],"study_design_scores_gemma":[0.00001504442,0.0005959245,0.9936558,0.000005441505,0.0000371574,0.0004746645,0.00007364333,0.0030924,0.001798482,0.00003369294,0.0002130957,0.000004573196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992602,0.0001538032,0.000397222,0.00001599879,0.000001554416,0.000006576418,0.00002707623,0.000006585318,0.0001309714],"genre_scores_gemma":[0.9994034,0.00004040669,0.0004181084,0.000007935218,0.000004683347,0.000006061695,0.00006627282,0.000001230557,0.00005192139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000631063,"threshold_uncertainty_score":0.003285229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06656096592846508,"score_gpt":0.4143931301792732,"score_spread":0.3478321642508081,"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."}}