{"id":"W1963703398","doi":"10.1038/nbt1011","title":"Protein sequencing by mass analysis of polypeptide ladders after controlled protein hydrolysis","year":2004,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Canada","keywords":"Biochemistry; Peptide sequence; Amino acid; Protein sequencing; Hydrolysate; Chemistry; Escherichia coli; Biology; Hydrolysis; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["research_integrity"],"category_scores_codex":[0.00015346,0.0007419361,0.001878549,0.001061276,0.00009718147,0.00002992463,0.001104708,0.012176,0.0005052892],"category_scores_gemma":[0.0001606342,0.0006957764,0.0009151261,0.00157743,0.0004413422,0.00006282006,0.0001748348,0.007979226,0.00001002651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006711876,"about_ca_system_score_gemma":0.0002129698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435202,"about_ca_topic_score_gemma":0.00002481073,"domain_scores_codex":[0.9965929,0.00003766613,0.0009436024,0.001229563,0.0004706224,0.0007256566],"domain_scores_gemma":[0.9967264,0.00006135203,0.001134372,0.001853294,0.0001655296,0.00005904106],"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":[0.0001440956,0.00003722053,0.000008081664,0.0002431325,0.00236617,0.00008998933,0.000009296627,0.00002247889,0.9854214,0.0007197378,0.01060716,0.000331225],"study_design_scores_gemma":[0.001024494,0.00004006699,2.486754e-7,0.0002037802,0.001555456,0.000005756178,0.00001602778,0.0001428519,0.8515356,0.005140339,0.1396887,0.0006466917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06661581,0.008499707,0.0514436,0.854696,0.00008549647,0.006962144,0.00476791,0.003229576,0.003699763],"genre_scores_gemma":[0.716424,0.0002805453,0.1448973,0.1034184,0.0009710489,0.01543987,0.004551322,0.0005422705,0.01347523],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7512776,"threshold_uncertainty_score":0.9995493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003860537422706217,"score_gpt":0.2302112252846995,"score_spread":0.2263506878619933,"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."}}