{"id":"W4200132645","doi":"10.1158/2159-8290.cd-20-1265","title":"Ontogeny and Vulnerabilities of Drug-Tolerant Persisters in HER2+ Breast Cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Vector Institute; Ontario Institute for Cancer Research; Amgen (Canada); Princess Margaret Cancer Centre; Toronto Rehabilitation Institute; University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; Government of Canada; Canadian Institutes of Health Research; Government of Ontario; Basic Research Laboratory; Foundation for the National Institutes of Health","keywords":"Ontogeny; Breast cancer; Cancer; Function (biology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006557447,0.0001022448,0.0001223401,0.0002618151,0.0001965687,0.0003955228,0.0001105925,0.0002973687,0.001423859],"category_scores_gemma":[0.000140188,0.00009544121,0.0001048758,0.0001272193,0.0001292114,0.0002643192,0.0004361889,0.0003864841,0.0003971974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378912,"about_ca_system_score_gemma":0.0001530886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003398338,"about_ca_topic_score_gemma":0.0003839149,"domain_scores_codex":[0.9999477,0.000004534011,0.000003623599,0.0000148613,0.00001526035,0.00001408616],"domain_scores_gemma":[0.9998893,0.00001383018,0.0000399247,0.000009937749,0.00001528949,0.00003181745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002271199,0.0000361223,0.01434262,0.00004663529,0.00000749704,0.0002901043,0.0001458295,0.0001403069,0.9735347,0.0005304226,0.0001731661,0.01052546],"study_design_scores_gemma":[0.00002943231,0.001137632,0.635092,0.0000491448,0.00004486919,0.005797602,0.0008723569,0.002935054,0.3343756,0.001369146,0.0182605,0.0000366132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962174,0.001205437,0.0007658529,0.00006313841,0.000006386948,0.00001706247,0.0003830572,0.00003250617,0.001309135],"genre_scores_gemma":[0.9959288,0.000692244,0.0004443171,0.00005860215,0.000007137854,0.00003075724,0.00040581,0.00001401561,0.002418316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001423859,"threshold_uncertainty_score":0.004763305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603636626315148,"score_gpt":0.2761732134678059,"score_spread":0.2601368472046544,"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."}}