{"id":"W2746136596","doi":"10.1016/j.exphem.2017.06.041","title":"New strategies for targeting leukemia stem cells","year":2017,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Leukemia; Stem cell; Redundancy (engineering); Exploit; Computational biology; Ex vivo; Biology; Cancer research; Immunology; Computer science; In vivo; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008450694,0.0006115516,0.0005382531,0.0007768535,0.0004064621,0.001453194,0.0007838812,0.0008637284,0.004912309],"category_scores_gemma":[0.0004183908,0.0002670547,0.0005497956,0.0003320941,0.0007977955,0.001462988,0.0007293883,0.002486147,0.0008491424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006630809,"about_ca_system_score_gemma":0.0005518166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004015139,"about_ca_topic_score_gemma":0.001091343,"domain_scores_codex":[0.9997695,0.00005328636,0.0000145791,0.0000467483,0.00007515412,0.00004077289],"domain_scores_gemma":[0.9998471,0.00005420786,0.00002616692,0.00002245323,0.0000258824,0.00002414535],"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":[0.0005078116,0.0006673816,0.0009886819,0.001359189,0.0001430004,0.0003708933,0.0003615298,0.001883542,0.5641435,0.08713865,0.01176463,0.3306713],"study_design_scores_gemma":[0.0006804726,0.002944685,0.001910145,0.0004056367,0.0003954924,0.00223031,0.0004248782,0.007216747,0.4980881,0.05254606,0.43308,0.00007734649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2163518,0.3301341,0.3535437,0.03434803,0.005445166,0.001086681,0.0009001453,0.001394141,0.05679625],"genre_scores_gemma":[0.6927755,0.150535,0.121666,0.007566961,0.001530799,0.0009808857,0.0007196877,0.0001846379,0.02404054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004912309,"threshold_uncertainty_score":0.01643336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402136962044235,"score_gpt":0.3633992290645622,"score_spread":0.3231855328601387,"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."}}