{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006600929,0.0002963035,0.0004558342,0.000228866,0.0006066401,0.0009694235,0.0003701342,0.004289599,0.001992654],"category_scores_gemma":[0.001214117,0.0001526334,0.0003662062,0.0001696191,0.0004165477,0.0002879638,0.0002815642,0.002873502,0.00122496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080958,"about_ca_system_score_gemma":0.0004213989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007825975,"about_ca_topic_score_gemma":0.001780457,"domain_scores_codex":[0.9995832,0.0001228473,0.00003798271,0.00002978993,0.0001441,0.0000820569],"domain_scores_gemma":[0.9995198,0.0002673308,0.00003509802,0.00003544921,0.00006637137,0.00007589904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002827015,0.0004813818,0.00738054,0.000423888,0.0001302848,0.02436927,0.0003203497,0.0007974405,0.07704449,0.0110434,0.6596703,0.2155116],"study_design_scores_gemma":[0.0007168875,0.001200488,0.009502439,0.0001101926,0.0001078817,0.02144619,0.0003489505,0.002300835,0.04979007,0.006146492,0.9082918,0.00003772187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1259711,0.04167797,0.003632446,0.7186739,0.03360244,0.0002881594,0.0006617845,0.0004453903,0.07504678],"genre_scores_gemma":[0.5653601,0.02328316,0.00321967,0.3163789,0.03207308,0.0003060787,0.0006277154,0.00008314875,0.05866807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004289599,"threshold_uncertainty_score":0.007842958,"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."}}