{"id":"W2768359630","doi":"","title":"eIF3 p110 is a substrate for CARM1","year":2017,"lang":"en","type":"article","venue":"","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nutrasource","funders":"","keywords":"Substrate (aquarium); Computer science; Geology; Oceanography","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":[0.00003422255,0.0000531799,0.00004264756,0.000006506354,0.0001366547,0.00005407848,0.0001215622,0.00005023784,0.00009253262],"category_scores_gemma":[0.00003295851,0.00004583559,0.00006831311,0.000004301905,0.00003313567,0.000001915063,0.00002833348,0.000009657295,0.00001714827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001710436,"about_ca_system_score_gemma":0.00003125945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001333612,"about_ca_topic_score_gemma":0.00002400534,"domain_scores_codex":[0.9996696,0.000003439681,0.00005774085,0.0001401216,0.0000350118,0.0000941516],"domain_scores_gemma":[0.9994884,0.000001454992,0.00003752637,0.0003585711,0.00004546279,0.00006859197],"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":[0.0003575442,0.0001137225,0.06264715,0.00004318371,0.00009417857,0.000003131685,0.00004176246,0.00001410715,0.7349493,0.004709209,0.1876204,0.00940631],"study_design_scores_gemma":[0.001897634,0.0001359041,0.1523037,0.000004192836,0.00002671204,0.000003174794,0.00004206348,0.0005514699,0.4808995,0.000988159,0.3628649,0.0002825705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700074,0.0001042574,0.001958755,0.00109814,0.0001041608,0.0001475261,0.00003135167,0.000008704228,0.02653977],"genre_scores_gemma":[0.9763113,0.00001265764,0.0004158403,0.0007282571,0.000132959,0.0000146227,0.00003633125,0.000006804774,0.02234125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2540498,"threshold_uncertainty_score":0.1869121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061333227563809,"score_gpt":0.3019478627034108,"score_spread":0.2813345304277727,"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."}}