{"id":"W3006606775","doi":"10.3324/haematol.2019.245167","title":"SIRPαFc treatment targets human acute myeloid leukemia stem cells","year":2020,"lang":"en","type":"letter","venue":"Haematologica","topic":"Phagocytosis and Immune Regulation","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Trillium Therapeutics (Canada); Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"Hospital for Sick Children; University of Toronto; Government of Canada; Government of Ontario; Department of Medicine, University of Toronto; Ontario Genomics Institute; Genome Canada","keywords":"Myeloid leukemia; Stem cell; Myeloid cells; Myeloid; Medicine; Cancer research; Immunology; Leukemia; Biology; Cell biology","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006789974,0.0008050695,0.001614079,0.0001450955,0.0005238798,0.00005615594,0.0006041459,0.002038391,0.00135809],"category_scores_gemma":[0.000005799339,0.0005992284,0.0005589062,0.0001368357,0.0002947897,0.00009035279,0.0002032533,0.001334091,0.004615814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314758,"about_ca_system_score_gemma":0.0001435635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006412754,"about_ca_topic_score_gemma":0.000003805373,"domain_scores_codex":[0.9969239,0.0004565157,0.0007517939,0.0009637587,0.0000888133,0.0008152134],"domain_scores_gemma":[0.9984128,0.000141662,0.0005767428,0.0007660947,0.00006551793,0.00003721431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004854287,0.00005408173,0.00001652723,0.00007165534,0.001010004,0.001044765,0.0002045508,0.000001205229,0.1481196,0.00009904654,0.8477752,0.001554827],"study_design_scores_gemma":[0.0008419334,0.000600877,0.00005214821,0.000051271,0.0003697847,0.0003355479,0.00002590816,0.000002045932,0.2324022,0.0001413276,0.7646725,0.0005044889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1232118,0.04745552,0.0002526966,0.791921,0.009254948,0.005717831,0.001780437,0.00292294,0.01748279],"genre_scores_gemma":[0.3656839,0.003011666,0.0002511338,0.5235277,0.001730959,0.0007565972,0.01356729,0.0003525844,0.09111822],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2683933,"threshold_uncertainty_score":0.9996459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197025394909053,"score_gpt":0.2469660298141519,"score_spread":0.2149957758650614,"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."}}