{"id":"W1679330090","doi":"10.1158/1538-7445.sabcs14-p6-09-07","title":"Abstract P6-09-07: The development of a prediction tool for moderate to severe diarrhea in HER-2/hormone positive metastatic breast cancer (MBC) patients receiving lapatinib in combination with letrozole (L-L)","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Augmentium Pharma Consulting (Canada)","funders":"","keywords":"Medicine; Lapatinib; Letrozole; Diarrhea; Discontinuation; Internal medicine; Gee; Metastatic breast cancer; Receiver operating characteristic; Cancer; Oncology; Breast cancer; Generalized estimating equation; Statistics; Mathematics","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":[0.005047426,0.0007004337,0.000718471,0.001426105,0.000182213,0.001120366,0.0005738353,0.0006201775,0.001926432],"category_scores_gemma":[0.01463746,0.0002715139,0.001088671,0.0006211595,0.0002194502,0.0004734288,0.000575706,0.0007311734,0.0007946141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822797,"about_ca_system_score_gemma":0.0008679057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233591,"about_ca_topic_score_gemma":0.001238137,"domain_scores_codex":[0.9980295,0.001134064,0.0001877672,0.0001774533,0.0004074137,0.00006379522],"domain_scores_gemma":[0.9933822,0.004182307,0.001095497,0.0002601804,0.0008713101,0.0002084444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00467469,0.001967749,0.7790781,0.0003187701,0.000764549,0.0003704939,0.0001392829,0.02710307,0.005262285,0.000272796,0.00387593,0.1761722],"study_design_scores_gemma":[0.0007473861,0.007342165,0.4146495,0.0001276849,0.0007177233,0.001803581,0.0001684528,0.5607573,0.009106338,0.0007327682,0.00373692,0.0001101291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421021,0.0004714199,0.04941268,0.0005572317,0.00006452479,0.000769,0.003624466,0.0009676821,0.002030849],"genre_scores_gemma":[0.9690754,0.0001426483,0.0279025,0.0001100435,0.0000313894,0.0002873425,0.001843561,0.000037952,0.0005690967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005047426,"threshold_uncertainty_score":0.02669364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09324568005919245,"score_gpt":0.406620345621886,"score_spread":0.3133746655626936,"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."}}