{"id":"W2783434817","doi":"10.1002/cbic.201700645","title":"Cover Feature: Kinetic Analysis of PRMT1 Reveals Multifactorial Processivity and a Sequential Ordered Mechanism (ChemBioChem 1/2018)","year":2017,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Processivity; Mechanism (biology); Chemistry; Cofactor; Feature (linguistics); Dimer; Peptide; Cover (algebra); Stereochemistry; Computational biology; Biology; Biochemistry; Physics; Enzyme; Philosophy","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":[0.0002285893,0.000925892,0.0008898015,0.001109755,0.0005047127,0.0006583589,0.001228801,0.001145622,0.2492277],"category_scores_gemma":[0.0005916909,0.0006109707,0.0005723092,0.001029261,0.0002050196,0.000843039,0.0003789839,0.001623259,0.03817497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008468126,"about_ca_system_score_gemma":0.0002858042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008483276,"about_ca_topic_score_gemma":0.001893939,"domain_scores_codex":[0.9996719,0.000009658443,0.00000690113,0.00004922028,0.0002109158,0.00005137729],"domain_scores_gemma":[0.9996967,0.000105673,0.00004545286,0.00003593506,0.00005605303,0.00006032792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007600953,0.0001885833,0.0003618772,0.0005265026,0.00004284224,0.0004226736,0.00002026445,0.0004748641,0.196067,0.002154249,0.7614307,0.03755026],"study_design_scores_gemma":[0.0004547556,0.0007899841,0.01315366,0.0001264222,0.00008114796,0.001781721,0.00004574644,0.01670013,0.5222461,0.004085745,0.4404303,0.0001042765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1103947,0.02320461,0.07544319,0.03575731,0.02652463,0.0009208812,0.2061235,0.07182014,0.4498111],"genre_scores_gemma":[0.2962138,0.01798051,0.04499981,0.005466843,0.006032687,0.001060297,0.1848464,0.007258398,0.4361413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2492277,"threshold_uncertainty_score":0.8337499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274132906425591,"score_gpt":0.2700516730088249,"score_spread":0.257310343944569,"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."}}