{"id":"W2064457163","doi":"10.1016/j.stem.2007.10.015","title":"Moving Forward in Human Mammary Stem Cell Biology and Breast Cancer Prognostication Using ALDH1","year":2007,"lang":"en","type":"letter","venue":"Cell stem cell","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôtel-Dieu de Montréal; Centre Hospitalier de l’Université de Montréal; Quebec Breast Cancer Foundation","funders":"National Cancer Institute","keywords":"Biology; Stem cell; Breast cancer; Human breast; Mammary gland; Cancer stem cell; Cancer research; Cancer; Internal medicine; Cell biology; Genetics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003913605,0.0006257232,0.001028095,0.0005585898,0.0001269564,0.0000657577,0.0002499748,0.001044545,0.0001508671],"category_scores_gemma":[0.000001075823,0.0005990976,0.0002020518,0.00035134,0.0001326527,0.0001041973,0.0001931153,0.001451578,0.0000187752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938422,"about_ca_system_score_gemma":0.0003486828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014169,"about_ca_topic_score_gemma":0.00008349799,"domain_scores_codex":[0.9967362,0.0001411226,0.0008040824,0.001065916,0.0003355733,0.0009170769],"domain_scores_gemma":[0.9983114,0.0001424809,0.0005135766,0.0006653104,0.0001516418,0.0002155796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004639151,0.001104473,0.04998493,0.03799649,0.0003806433,0.003744785,0.002364376,0.0001084068,0.3827994,0.00002469198,0.3591575,0.1618704],"study_design_scores_gemma":[0.004938977,0.0003734784,0.001835794,0.001592824,0.001426348,0.0002271206,0.00042244,0.0004706215,0.09411222,0.00002749686,0.8928827,0.001689964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.769294,0.0816932,0.00413776,0.06325653,0.004207983,0.009284219,0.001249824,0.0004693014,0.06640712],"genre_scores_gemma":[0.6736116,0.009063856,0.004054813,0.2396111,0.0118195,0.0004868935,0.002016885,0.0009439408,0.05839141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5337252,"threshold_uncertainty_score":0.9996461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661177553956214,"score_gpt":0.2862605155897097,"score_spread":0.2596487400501475,"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."}}