{"id":"W4385739932","doi":"10.1097/01.hs9.0000968596.43178.c6","title":"P422: TARGETING THE WT1MUT-MIR-193A TRANSCRIPTIONAL AXIS WITH INT-1B3, A NOVEL LIPID NANOPARTICLE-FORMULATED MIR-193A-3P MIMIC IN ACUTE MYELOID LEUKEMIA","year":2023,"lang":"en","type":"article","venue":"HemaSphere","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute","funders":"","keywords":"Cancer research; Myeloid leukemia; DNA methylation; Epigenetics; microRNA; Decitabine; Biology; Methylation; Gene silencing; Leukemia; Gene; Immunology; Gene expression; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001151683,0.0005953888,0.000775554,0.0002776371,0.0003785573,0.0001032364,0.0005885956,0.0003848058,0.001256462],"category_scores_gemma":[0.0002852568,0.000412788,0.0002528434,0.002795205,0.0003754999,0.0003850324,0.0002130479,0.001578238,0.0009003024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453891,"about_ca_system_score_gemma":0.001480668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006634422,"about_ca_topic_score_gemma":0.0005848129,"domain_scores_codex":[0.9950559,0.0001565233,0.0008982026,0.0009432796,0.001345176,0.00160099],"domain_scores_gemma":[0.9978276,0.0003687663,0.0001778473,0.0008683511,0.0003093402,0.0004481165],"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":[0.002632379,0.0003563806,0.01016769,0.0004530192,0.0006978023,0.000974418,0.004914905,0.0009622318,0.9384227,0.000685117,0.03653414,0.003199158],"study_design_scores_gemma":[0.06541613,0.004064623,0.2298475,0.003246988,0.001709326,0.002818107,0.01960568,0.1703327,0.2678685,0.0006413897,0.2301074,0.004341695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877188,0.0006260556,0.0002113998,0.0073685,0.0002149733,0.001517266,0.00007690146,0.0004907642,0.001775396],"genre_scores_gemma":[0.9884762,0.0003656123,0.002088814,0.001361289,0.0004197632,0.0003542203,0.0003170654,0.000196761,0.006420318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6705543,"threshold_uncertainty_score":0.9998776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372331874045983,"score_gpt":0.2759222441078383,"score_spread":0.2521989253673785,"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."}}