{"id":"W6888915334","doi":"10.25345/c51v5bq6s","title":"MassIVE MSV000093049 - Systematic perturbations of SETD2, NSD1, NSD2, NSD3 and ASH1L reveals their distinct contributions to H3K36 methylation","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Methylation; Methyltransferase; DNA methylation; Epigenetics","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002220071,0.001081492,0.002518947,0.001319193,0.0005593514,0.0002323058,0.0009292748,0.000690585,0.0004951582],"category_scores_gemma":[0.01274226,0.0009333384,0.0004361163,0.002050584,0.0003156063,0.0002871109,0.0005967378,0.0006975281,0.009483541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008229348,"about_ca_system_score_gemma":0.0003341055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006158904,"about_ca_topic_score_gemma":0.002098845,"domain_scores_codex":[0.9930397,0.001531135,0.002153264,0.001241523,0.001102204,0.0009321572],"domain_scores_gemma":[0.9898521,0.004180105,0.001893766,0.002283126,0.001245732,0.0005451587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005360338,0.000165909,0.00005373032,0.009733401,0.000732056,0.00002651917,0.0003572946,0.00005828635,0.0007605197,0.0003584746,0.9876806,0.00001961113],"study_design_scores_gemma":[0.006206099,0.001495969,0.03261303,0.06550791,0.01330507,0.0001913535,0.004696515,0.001585515,0.001419437,0.01068547,0.8546774,0.007616248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001278522,0.001385391,0.0003051975,0.0002515427,0.0006240424,0.004900248,0.9907206,0.0003552813,0.0001791333],"genre_scores_gemma":[0.01604533,0.0000652329,0.0001401677,0.00008825406,0.0003218348,0.001280051,0.9806773,0.0002448209,0.001136981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1330032,"threshold_uncertainty_score":0.9993117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297860498134113,"score_gpt":0.3052769565789812,"score_spread":0.2822983515976401,"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."}}