{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058611,0.0002257674,0.0005715802,0.00008214096,0.0002054182,0.00001351291,0.0002750861,0.000131205,0.000003128695],"category_scores_gemma":[0.00007425639,0.0002163386,0.000253971,0.0001770972,0.00008996419,0.0000183528,0.0002767003,0.0002243304,1.301288e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977966,"about_ca_system_score_gemma":0.000548756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004560656,"about_ca_topic_score_gemma":0.00005243632,"domain_scores_codex":[0.9978024,0.0001024189,0.00123332,0.0002684764,0.0002602006,0.0003331943],"domain_scores_gemma":[0.9989439,0.0001268233,0.0005168801,0.0002757746,0.00008122219,0.00005535426],"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":[0.005819679,0.0003123424,0.1116885,0.0001595418,0.0002569523,8.18015e-7,0.003707534,0.8567206,0.001420728,0.0001657657,0.0005644403,0.01918313],"study_design_scores_gemma":[0.003813153,0.0002262701,0.01256461,0.00006876032,0.00007467539,0.000005512255,0.001344848,0.9802949,0.0005234404,0.000298948,0.0005280825,0.0002567774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976674,0.000725874,0.09779306,0.001243513,0.0002410492,0.0006547614,0.001627473,0.00002430051,0.00002259108],"genre_scores_gemma":[0.966263,0.0003581914,0.03120578,0.0008415844,0.00007455042,0.00109477,0.0001174218,0.00002752132,0.00001715905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235744,"threshold_uncertainty_score":0.882203,"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."}}