{"id":"W2148743957","doi":"10.1182/blood-2006-01-0092","title":"Monitoring CML patients responding to treatment with tyrosine kinase inhibitors: review and recommendations for harmonizing current methodology for detecting BCR-ABL transcripts and kinase domain mutations and for expressing results","year":2006,"lang":"en","type":"review","venue":"Blood","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":1202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Fogarty International Center; European Commission","keywords":"Imatinib mesylate; Tyrosine kinase; Philadelphia chromosome; Fluorescence in situ hybridization; Imatinib; ABL; Myeloid leukemia; Cancer research; Medicine; breakpoint cluster region; Tyrosine-kinase inhibitor; Internal medicine; Oncology; Biology; Bioinformatics; Gene; Genetics; Cancer; Chromosomal translocation; Chromosome; Receptor","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002222518,0.0009776503,0.002520242,0.00302496,0.000284269,0.000959155,0.001794803,0.001422995,0.002559573],"category_scores_gemma":[0.002045876,0.0003539899,0.0006908834,0.004088963,0.0005379951,0.00166807,0.0004655236,0.001429121,0.002279624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009026603,"about_ca_system_score_gemma":0.002370476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023772,"about_ca_topic_score_gemma":0.004330316,"domain_scores_codex":[0.9993339,0.000203993,0.0001681958,0.00006595984,0.0002020809,0.00002586204],"domain_scores_gemma":[0.9986738,0.0004992468,0.0002510416,0.00003291034,0.0004728613,0.00007013143],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008499917,0.00006331952,0.0002148266,0.02216006,0.0001092574,0.0002452003,0.00006196561,0.0002715818,0.0007902216,0.00183274,0.05561458,0.9185513],"study_design_scores_gemma":[0.0000403102,0.0001034091,0.001206142,0.01091249,0.0002227174,0.001108625,0.00009542565,0.0001032578,0.0002387775,0.001334302,0.9846119,0.00002260195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008455956,0.9974877,0.0002131379,0.001189333,0.0003337637,0.00001835881,0.00003085216,0.00001173016,0.0006305529],"genre_scores_gemma":[0.0004135791,0.9971375,0.001161868,0.0006434372,0.0001566424,0.00003257317,0.00005454277,0.000002122792,0.0003976696],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9977775,"threshold_uncertainty_score":0.01175398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1864627210656154,"score_gpt":0.4071127916725872,"score_spread":0.2206500706069719,"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."}}