{"id":"W2519942097","doi":"","title":"Targeting cancer stem cells: Challenges and opportunities","year":2013,"lang":"en","type":"article","venue":"Journal of Bioequivalence & Bioavailability","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dasatinib; Imatinib; Stem cell; Progenitor cell; Cancer research; Cancer stem cell; Medicine; Tyrosine kinase; Myeloid leukemia; CD34; Haematopoiesis; Chronic myelogenous leukemia; Tyrosine-kinase inhibitor; Population; Immunology; Cancer; Leukemia; Biology; Internal medicine; Cell biology; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007553791,0.0002318639,0.0005426594,0.0001180334,0.00006733619,0.00003285139,0.0001505347,0.0001282848,0.0007676958],"category_scores_gemma":[0.00006602544,0.0001666132,0.0001382672,0.00006627365,0.0004761991,0.0004134866,0.00008395268,0.0003137844,0.00003099393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005665708,"about_ca_system_score_gemma":0.000507871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001262936,"about_ca_topic_score_gemma":0.000005333897,"domain_scores_codex":[0.9980891,0.0001123556,0.0007241791,0.0002820943,0.0004491726,0.0003430744],"domain_scores_gemma":[0.9982099,0.0001332407,0.0004888157,0.0003082193,0.0004930309,0.0003667912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000331331,0.0007470102,0.03946486,0.001990466,0.000478478,0.0002640912,0.003147778,0.000005018715,0.09401731,0.0001712969,0.005229657,0.8541527],"study_design_scores_gemma":[0.02548399,0.01282389,0.4002769,0.007738246,0.003321819,0.003621611,0.06292158,0.00203565,0.3430545,0.002443956,0.1330746,0.003203264],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924855,0.06856049,0.000008020555,0.005380619,0.0003134154,0.0003342692,0.00001133521,0.00002540272,0.0005114429],"genre_scores_gemma":[0.9221298,0.07592209,0.000767081,0.00020869,0.0002739874,0.00001553437,7.833833e-7,0.00001938108,0.0006626957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8509494,"threshold_uncertainty_score":0.8405731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08584506014930933,"score_gpt":0.295643831768893,"score_spread":0.2097987716195837,"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."}}