{"id":"W2139785943","doi":"10.2967/jnumed.107.047399","title":"Drug-Resistant AML Cells and Primary AML Specimens Are Killed by <sup>111</sup>In-Anti-CD33 Monoclonal Antibodies Modified with Nuclear Localizing Peptide Sequences","year":2008,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Clonogenic assay; Molecular biology; Flow cytometry; Nuclear localization sequence; Monoclonal antibody; Myeloid leukemia; NLS; Chemistry; Cell culture; Antibody; Cancer research; Myeloid; Biology; Cell; Immunology; Biochemistry; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487265,0.000281456,0.0002132124,0.0001403887,0.0001354005,0.0001930627,0.0001829461,0.0002425437,0.002744427],"category_scores_gemma":[0.00009376592,0.0001452761,0.0001609342,0.0001358498,0.0002200442,0.0001202078,0.0001435971,0.0002614332,0.0006491158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418994,"about_ca_system_score_gemma":0.0001225613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000410715,"about_ca_topic_score_gemma":0.0008114433,"domain_scores_codex":[0.9998558,0.00003167711,0.000009260994,0.00003317473,0.00003687905,0.00003322555],"domain_scores_gemma":[0.9999232,0.00002549888,0.00001679569,0.00001304792,0.00000950596,0.00001188999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001284163,0.00002098711,0.0007039121,0.00006173617,0.00000606441,0.00005422167,0.00002360781,0.00005821248,0.9969213,0.0001018416,0.00008164421,0.00183797],"study_design_scores_gemma":[0.00002202954,0.0003863071,0.00780136,0.000005443893,0.00002033521,0.0006815706,0.0000268621,0.0003623165,0.9868629,0.00002234328,0.00380591,0.000002633218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98812,0.002148512,0.005943786,0.00008784648,0.00001914728,0.00005583468,0.0002447286,0.0001353759,0.003244784],"genre_scores_gemma":[0.9878776,0.001212055,0.0066672,0.00006537321,0.00001256142,0.0000648432,0.0008193194,0.00002206507,0.003259049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002744427,"threshold_uncertainty_score":0.009181082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382517839665293,"score_gpt":0.2656693530260926,"score_spread":0.2418441746294397,"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."}}