{"id":"W4211090466","doi":"10.1200/cci.21.00055","title":"Developing a Prediction Model for Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Model Building Approaches","year":2022,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"","keywords":"Predictive value; Complete response; Predictive modelling; Model building; Chemotherapy; Prognostic model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01131909,0.001207957,0.001137195,0.001937982,0.0004633231,0.001153668,0.001478643,0.000773316,0.0007223096],"category_scores_gemma":[0.01990088,0.0004607238,0.001423168,0.0008719188,0.0003055108,0.0007413741,0.0009744509,0.001352289,0.0001685356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249903,"about_ca_system_score_gemma":0.003068904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04171902,"about_ca_topic_score_gemma":0.02826353,"domain_scores_codex":[0.9976839,0.001525929,0.0001144147,0.0003353078,0.0002077659,0.0001326666],"domain_scores_gemma":[0.9875666,0.01046197,0.0006150875,0.0001970284,0.0009478689,0.0002114247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006363384,0.0003604638,0.101149,0.0001522201,0.0006136613,0.0000985076,0.0002391269,0.8094489,0.000399661,0.0009620737,0.001103701,0.08483627],"study_design_scores_gemma":[0.00002376738,0.0001093357,0.004544136,0.0000277783,0.0000742753,0.00002314841,0.00003957079,0.9941004,0.0001241379,0.0007965626,0.0001271808,0.000009625694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7061574,0.001656053,0.2857362,0.001844465,0.00009052429,0.0005561648,0.00074674,0.0009699626,0.0022425],"genre_scores_gemma":[0.9302382,0.0003924513,0.06740698,0.0002165826,0.00004324994,0.0002970948,0.0008807594,0.00004362941,0.0004810136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04171902,"threshold_uncertainty_score":0.08295238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.190352856950589,"score_gpt":0.4140392132057909,"score_spread":0.2236863562552019,"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."}}