{"id":"W2043192919","doi":"10.1016/j.leukres.2014.09.005","title":"MicroSPECT/CT imaging of primary human AML engrafted into the bone marrow and spleen of NOD/SCID mice using 111In-DTPA-NLS-CSL360 radioimmunoconjugates recognizing the CD123+/CD131− epitope expressed by leukemia stem cells","year":2014,"lang":"en","type":"article","venue":"Leukemia Research","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Hospital for Sick Children; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research; CSL Limited; University Health Network","keywords":"Radioimmunotherapy; Nod; Bone marrow; Cancer research; Leukemia; Spleen; Epitope; Monoclonal antibody; Medicine; Myeloid leukemia; Immunology; Pathology; Antigen; Antibody","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":[],"consensus_categories":[],"category_scores_codex":[0.00309078,0.0003032062,0.0006297305,0.0001303311,0.0007045976,0.0001014262,0.0007014101,0.000078153,0.00006454602],"category_scores_gemma":[0.0001813673,0.0002121103,0.0001490262,0.0006892252,0.001494011,0.0001376715,0.0003851934,0.001327403,0.00001191142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000932952,"about_ca_system_score_gemma":0.0004707282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117086,"about_ca_topic_score_gemma":0.000006112257,"domain_scores_codex":[0.9966558,0.0004830563,0.0007738719,0.0006143541,0.0007604083,0.0007124764],"domain_scores_gemma":[0.9965519,0.001521421,0.0002622816,0.0010338,0.0004080023,0.0002225778],"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":[0.0001865751,0.00006262197,0.0009962268,0.0006543881,0.00008445407,0.0000179095,0.000636654,0.00001538305,0.990734,0.0001096493,0.001919483,0.004582649],"study_design_scores_gemma":[0.001953151,0.0000661746,0.0004881902,0.0003731168,0.0001210735,0.0001180651,0.0008340495,0.003884836,0.9837307,0.0003374494,0.007883622,0.0002095556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911576,0.004721312,0.0001033822,0.001461952,0.00003879537,0.0009987731,0.00003360492,0.00004179919,0.00144281],"genre_scores_gemma":[0.9971317,0.000525475,0.001052568,0.000226474,0.0001989048,0.00007932317,0.00004826909,0.00006338079,0.0006738899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00700329,"threshold_uncertainty_score":0.8649607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371917395543981,"score_gpt":0.338180696160755,"score_spread":0.2944615222053152,"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."}}