{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065628,0.0001549908,0.0001419531,0.00008240376,0.00007180316,0.00001017574,0.0002060431,0.00003814061,0.0001050677],"category_scores_gemma":[0.00001338531,0.0001801288,0.00005442918,0.0001197557,0.00003384163,0.00001118664,0.000280516,0.0001497791,0.000001667678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000485899,"about_ca_system_score_gemma":0.00003073513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006176769,"about_ca_topic_score_gemma":0.0002759302,"domain_scores_codex":[0.9989845,0.00002955857,0.0001998529,0.0003426478,0.0001457158,0.0002977773],"domain_scores_gemma":[0.9997126,0.00001198769,0.00004281711,0.000183872,0.000004232835,0.00004450773],"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":[0.00006702152,0.00006192544,0.08527095,0.00001470123,0.00003920701,0.00009655659,0.0001232525,0.07095738,0.8428845,0.000003480006,0.0001021614,0.0003788981],"study_design_scores_gemma":[0.001520799,0.0002297034,0.02397642,0.000008534782,0.00002438029,0.00007565049,0.001139572,0.00008316922,0.8758813,0.00002450094,0.09669898,0.0003370548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914736,0.006797069,0.001087901,0.00005151453,0.0001177406,0.0001431793,0.0000502443,0.000008454203,0.0002702875],"genre_scores_gemma":[0.9957291,0.00140968,0.001892116,0.000247821,0.00006853091,0.00005936988,0.00004674772,0.00002261401,0.0005239561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09659681,"threshold_uncertainty_score":0.734544,"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."}}