{"id":"W2594782791","doi":"10.1158/1538-7445.sabcs16-p6-09-39","title":"Abstract P6-09-39: The role of quantitative estrogen receptor status in predicting breast tumor response to neoadjuvant chemotherapy","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Breast cancer; Oncology; Logistic regression; Internal medicine; Confounding; Estrogen receptor; Proportional hazards model; Odds ratio; Chemotherapy; Cancer; Neoadjuvant therapy","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":[0.001790187,0.0002337811,0.0002676453,0.0008230633,0.00009953991,0.0004774742,0.0003045323,0.0002171534,0.007346408],"category_scores_gemma":[0.006331045,0.00008113591,0.0002668926,0.0008685994,0.0001846498,0.0002889467,0.0002495985,0.0002472213,0.001171263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174772,"about_ca_system_score_gemma":0.0003446066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006324535,"about_ca_topic_score_gemma":0.0005581601,"domain_scores_codex":[0.9994141,0.000225309,0.0000924506,0.00006432867,0.0001784299,0.00002533687],"domain_scores_gemma":[0.9955366,0.002102611,0.001460926,0.0001291744,0.0005192744,0.0002514434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001129856,0.00005353412,0.979425,0.0002014008,0.0001025281,0.00009461593,0.0000132481,0.0002393157,0.000740587,0.00004072269,0.0009017835,0.01705738],"study_design_scores_gemma":[0.00006455967,0.000448679,0.992837,0.0001019589,0.0001093686,0.001321545,0.00004880317,0.001382389,0.0009965996,0.0001540132,0.002526958,0.000008094889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726405,0.007333159,0.002049344,0.000909224,0.0000739086,0.0001119997,0.01164935,0.00008277687,0.005149769],"genre_scores_gemma":[0.9955448,0.00071959,0.0009116149,0.00004951802,0.00005501166,0.0000332518,0.001950128,0.00001149443,0.0007245559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007346408,"threshold_uncertainty_score":0.02457625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673876524185959,"score_gpt":0.3952318050713414,"score_spread":0.3584930398294818,"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."}}