{"id":"W2966151337","doi":"10.3390/cancers11081128","title":"CSCs in Breast Cancer—One Size Does Not Fit All: Therapeutic Advances in Targeting Heterogeneous Epithelial and Mesenchymal CSCs","year":2019,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"CD44; Cancer stem cell; Breast cancer; Cancer research; Triple-negative breast cancer; CD24; Cancer; Population; Medicine; Oncology; Bioinformatics; Biology; Internal medicine; Cell","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003729591,0.0006881089,0.002842158,0.000265482,0.00004359954,0.00003904413,0.0002305819,0.0003377731,0.0004152245],"category_scores_gemma":[0.00004348336,0.0004890477,0.0003865511,0.0004488441,0.0001634366,0.0001419228,0.00009662422,0.0007302751,0.00001078008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262838,"about_ca_system_score_gemma":0.00195441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144246,"about_ca_topic_score_gemma":0.002543913,"domain_scores_codex":[0.9967983,0.0001572082,0.0009091678,0.0009439178,0.0004138256,0.0007775354],"domain_scores_gemma":[0.9985362,0.0003003746,0.0004406045,0.0004293413,0.00006394939,0.0002295532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002391483,0.00003270797,0.0002572421,0.01907309,0.0002684587,0.00009550185,0.0002098892,0.0001553194,0.0001214682,0.000006102512,0.00005125481,0.9794898],"study_design_scores_gemma":[0.001399327,0.0000930681,0.00007149157,0.0138797,0.001160305,0.0001029405,0.00008779708,0.00003546464,0.0001136882,0.00001120864,0.9824427,0.0006022459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001731287,0.994274,0.000002233589,0.0003464944,0.001191454,0.001436607,0.000796986,0.00003413885,0.0001867694],"genre_scores_gemma":[0.003997338,0.9934822,0.0001254787,0.000732239,0.0006846649,0.0003783974,0.00004429615,0.0001237539,0.0004316145],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9823915,"threshold_uncertainty_score":0.9997561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04999604767104612,"score_gpt":0.3506553409275194,"score_spread":0.3006592932564732,"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."}}