{"id":"W2337848504","doi":"10.1182/blood-2015-11-683649","title":"GPR56 identifies primary human acute myeloid leukemia cells with high repopulating potential in vivo","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":234,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital de l'Enfant-Jésus; McGill University Health Centre; Montreal Children's Hospital; BC Cancer Agency; Centre hospitalier de l'Université Laval; Hôpital Maisonneuve-Rosemont; Université Laval; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Deutsche Krebshilfe; Université de Montréal; Vetenskapsrådet; Government of Canada; Génome Québec; Genome Canada","keywords":"Myeloid leukemia; Biology; In vivo; Leukemia; Cancer research; Myeloid; Phenotype; Immunology; Genetics; Gene","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":[0.0001530823,0.0001501551,0.0002696678,0.0003521491,0.000130733,0.0002741487,0.00009876254,0.0002285117,0.001740346],"category_scores_gemma":[0.0002100951,0.000111658,0.0001858834,0.0001810486,0.0001291669,0.0001228763,0.0002962713,0.0002846715,0.0007466364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009672,"about_ca_system_score_gemma":0.00006900093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002526599,"about_ca_topic_score_gemma":0.0002606783,"domain_scores_codex":[0.9998598,0.00002853265,0.00001317349,0.00003639476,0.00002503984,0.00003704179],"domain_scores_gemma":[0.9999347,0.00001655608,0.00000859004,0.00001478904,0.000008238123,0.00001711685],"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":[0.0001879207,0.00003480077,0.001343018,0.00001206671,0.000005046531,0.00004853059,0.00001934629,0.0000398614,0.9963068,0.00005832119,0.00004200434,0.001902458],"study_design_scores_gemma":[0.00007691504,0.001501545,0.07311979,0.000008845588,0.00007293693,0.002089077,0.0001046039,0.003155689,0.9153404,0.0001719799,0.004349349,0.000008941428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952755,0.0006009782,0.002276399,0.00004834365,0.00001236362,0.0000570468,0.0004658038,0.00003947267,0.00122419],"genre_scores_gemma":[0.9950777,0.0003266454,0.002671188,0.00004540079,0.000008753062,0.00005020082,0.000780171,0.00001250926,0.001027331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001740346,"threshold_uncertainty_score":0.005822003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037809514171956,"score_gpt":0.2552164819837586,"score_spread":0.244838386842039,"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."}}