{"id":"W4391446349","doi":"10.1158/1538-7445.advbc23-b067","title":"Abstract B067: Identification of Gemcitabine-resistant Populations using scRNA-Sequencing in Triple Negative Breast Cancer Patient-Derived Xenografts","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; Ontario Genomics; McGill University","funders":"","keywords":"Triple-negative breast cancer; Gemcitabine; Breast cancer; Cancer; Triple negative; Oncology; Identification (biology); Internal medicine; Medicine; Biology","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":[0.0002623691,0.0001665016,0.0002271109,0.0001900515,0.0001705238,0.0002671016,0.0001539499,0.0002911485,0.001612061],"category_scores_gemma":[0.000204367,0.0001120278,0.0002007096,0.0001401827,0.0001423437,0.0001021941,0.00009562806,0.0004563077,0.0005280036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680511,"about_ca_system_score_gemma":0.0001829973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617283,"about_ca_topic_score_gemma":0.001620306,"domain_scores_codex":[0.9997795,0.00003252204,0.00002456438,0.00006521671,0.00006645171,0.00003171176],"domain_scores_gemma":[0.9998437,0.000046256,0.00002829952,0.00002738994,0.00002858577,0.00002570535],"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":[0.00006903082,0.00004339211,0.000341434,0.00001280415,0.000004783237,0.00003192596,0.00002238099,0.0001238099,0.9983515,0.00005046262,0.00008356227,0.0008649945],"study_design_scores_gemma":[0.00002404907,0.0009004037,0.01124203,0.000005409263,0.00002511973,0.0006212963,0.00004750721,0.006065265,0.9781485,0.00005217452,0.00286077,0.000007650687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874448,0.0004918763,0.00762739,0.0001149202,0.00004587439,0.0001417778,0.002261567,0.0001721848,0.001699665],"genre_scores_gemma":[0.9846201,0.0003582512,0.007651992,0.0001094001,0.000007641775,0.0001308974,0.003312806,0.00006269198,0.003746172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001617283,"threshold_uncertainty_score":0.005392909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08483007984841097,"score_gpt":0.3955964910555031,"score_spread":0.3107664112070921,"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."}}