{"id":"W1984921654","doi":"10.1038/nbt1097","title":"Intein-based biosynthetic incorporation of unlabeled protein tags into isotopically labeled proteins for NMR studies","year":2005,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Intein; Chemistry; Isotopic labeling; Nuclear magnetic resonance spectroscopy; Escherichia coli; In vivo; Biochemistry; Target protein; Biology; Stereochemistry; 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003816824,0.0002881562,0.0004067097,0.0002080083,0.0001173256,0.0000106185,0.0004498998,0.001801659,0.000011919],"category_scores_gemma":[0.00123899,0.0002487051,0.0001490912,0.0002474616,0.0002850005,0.000006858161,0.000130697,0.0003298124,0.000006998318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004984249,"about_ca_system_score_gemma":0.0001468328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007357088,"about_ca_topic_score_gemma":0.0001520194,"domain_scores_codex":[0.9983962,0.00009155675,0.0004492424,0.0005770284,0.0001686351,0.0003173624],"domain_scores_gemma":[0.9986017,0.00003987016,0.0003266423,0.0006374649,0.0003455662,0.00004879038],"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":[0.0003279545,0.0001406216,0.00002335475,0.0001349727,0.0001041965,9.644489e-7,0.00002143905,0.00001071782,0.966545,0.009429281,0.0001769629,0.02308457],"study_design_scores_gemma":[0.0008959944,0.00129918,0.000008316833,0.00008446498,0.00003125579,0.000003467809,0.00004014076,0.0001058264,0.9554477,0.003885814,0.03793865,0.0002592225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388893,0.005263924,0.03758764,0.01488036,0.0001599049,0.003010657,0.00003538193,0.0001304626,0.00004237891],"genre_scores_gemma":[0.8898935,0.0000700478,0.108602,0.0003630318,0.0001761067,0.0005921557,0.00004829509,0.00003738841,0.0002174382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07101441,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009588763030001668,"score_gpt":0.2757916916792175,"score_spread":0.2662029286492159,"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."}}