{"id":"W7132818638","doi":"10.5281/zenodo.17818897","title":"Clonal tracking and scRNAseq analysis of human breast PDTX models treated with chemotherapy","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Chemotherapy; Human breast; clone (Java method); Breast cancer; Cancer; Metadata; Mastectomy","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":[0.0009819864,0.001145908,0.001205553,0.001399776,0.0008094955,0.001479521,0.001584137,0.002005228,0.01842654],"category_scores_gemma":[0.003002747,0.0004121649,0.001211921,0.001983596,0.0003810557,0.0005041466,0.001270904,0.00142606,0.01785367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315734,"about_ca_system_score_gemma":0.001679414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434852,"about_ca_topic_score_gemma":0.02467005,"domain_scores_codex":[0.9992203,0.00008978802,0.00007505484,0.0002659702,0.0002335779,0.0001153971],"domain_scores_gemma":[0.9983863,0.0006500037,0.0001226207,0.0004133078,0.0003038896,0.0001239985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00112154,0.0001808341,0.01369608,0.002090723,0.0002963755,0.0002896698,0.0001635441,0.004024259,0.01246696,0.001141527,0.9408978,0.02363076],"study_design_scores_gemma":[0.0009786978,0.0004719636,0.06031983,0.0005260949,0.0004195156,0.001418544,0.0003556547,0.008076999,0.02443964,0.003660848,0.8991622,0.0001699745],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008845156,0.0005212117,0.000801489,0.0002279765,0.00009926167,0.00003127115,0.9863041,0.001526321,0.001643218],"genre_scores_gemma":[0.005363365,0.0001715949,0.001038494,0.0001367457,0.00001135759,0.0001219094,0.9919323,0.0001556416,0.001068602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01842654,"threshold_uncertainty_score":0.06164289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420502075401928,"score_gpt":0.3378541517353859,"score_spread":0.2936491309813666,"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."}}