{"id":"W4283835454","doi":"10.1182/bloodadvances.2022007250","title":"In vivo genome-wide CRISPR screening in murine acute myeloid leukemia uncovers microenvironmental dependencies","year":2022,"lang":"en","type":"article","venue":"Blood Advances","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Cancer Institute","keywords":"CRISPR; In vivo; Biology; Myeloid leukemia; Leukemia; Genome editing; Genome; Myeloid; Computational biology; Gene; Cancer research; 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":[0.0001978862,0.0005048048,0.000332003,0.0004783791,0.0001918658,0.0003481041,0.0002764197,0.0003463759,0.001823433],"category_scores_gemma":[0.0001563426,0.0001923063,0.0003810995,0.000272435,0.0002366693,0.0001006426,0.0003463644,0.000485451,0.0003954317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755114,"about_ca_system_score_gemma":0.0002854153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083435,"about_ca_topic_score_gemma":0.003025093,"domain_scores_codex":[0.9998217,0.00001973899,0.00001490067,0.00005129206,0.00006132331,0.00003097441],"domain_scores_gemma":[0.9998848,0.00003704396,0.00003752665,0.00001464773,0.000008185697,0.00001764568],"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":[0.00006664242,0.00002739732,0.0006338085,0.00003276429,0.00001331303,0.00006558646,0.000008404526,0.002111648,0.9937954,0.0003176334,0.0001125598,0.002814813],"study_design_scores_gemma":[0.00002244542,0.0002218266,0.006004971,0.000007668021,0.00004981553,0.0002085598,0.00002012251,0.01289667,0.9763693,0.0003500653,0.003832537,0.00001600868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528939,0.0004177956,0.03790426,0.0001174465,0.00002259913,0.00007643044,0.004436165,0.001536223,0.002595213],"genre_scores_gemma":[0.9646603,0.0006199239,0.02734287,0.0001196714,0.000005647055,0.00009246238,0.004028246,0.0002600209,0.002870739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001823433,"threshold_uncertainty_score":0.006099939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003674562314736957,"score_gpt":0.2399378553973853,"score_spread":0.2362632930826483,"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."}}