{"id":"W2075910009","doi":"10.1038/nature12245","title":"Tiny enzyme uses context to succeed","year":2013,"lang":"en","type":"letter","venue":"Nature","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Context (archaeology); Biology; Paleontology","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":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00004654105,0.0002342975,0.0001733437,0.00006599996,0.00004833468,0.00005894313,0.0002471518,0.00449934,0.0003236706],"category_scores_gemma":[0.0001161334,0.0002146741,0.00009032455,0.00008285418,0.00002384607,0.000003403058,0.00008158581,0.002386575,0.0003213254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000147247,"about_ca_system_score_gemma":0.00004357515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008153924,"about_ca_topic_score_gemma":0.000006862017,"domain_scores_codex":[0.9989106,0.0000452364,0.0001546087,0.000489667,0.0001736563,0.0002262258],"domain_scores_gemma":[0.9991982,0.000005182984,0.00009281476,0.0004296589,0.0002205616,0.00005359796],"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":[0.000009157983,0.000007146385,0.00002909222,0.00002523977,0.00002866708,0.000003855644,0.00001391513,3.745286e-7,0.1571079,0.000008796133,0.842131,0.000634839],"study_design_scores_gemma":[0.0001039182,0.00005068555,0.000164938,0.00001654746,0.00001215574,0.00001234053,0.000007145335,4.671025e-7,0.1495313,0.000005995909,0.8498686,0.0002259305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02648851,0.00200054,0.0001086041,0.9662167,0.002562486,0.000561201,0.0001432745,0.0000615867,0.001857124],"genre_scores_gemma":[0.04608158,0.00008084256,0.000123469,0.8873258,0.01036128,0.00004620287,0.003598792,0.00005917871,0.05232285],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07889087,"threshold_uncertainty_score":0.9999149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007090285851013578,"score_gpt":0.2382742187416841,"score_spread":0.2311839328906705,"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."}}