{"id":"W2004241508","doi":"10.1021/pr900608z","title":"Assessment of the Reproducibility of Random Hexapeptide Peptide Library-Based Protein Normalization","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Normalization (sociology); Reproducibility; Peptide; Peptide library; Computational biology; Proteomics; Chemistry; Chromatography; Bioinformatics; Biology; Biochemistry; Peptide sequence","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":[],"consensus_categories":[],"category_scores_codex":[0.004223543,0.0001139062,0.0003361203,0.0001554388,0.000126456,0.00002721693,0.0007332516,0.0001008695,0.000203815],"category_scores_gemma":[0.0009789099,0.00007769006,0.0002209937,0.0006428046,0.0001998061,0.0002572195,0.0001130276,0.0008036798,5.160153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064822,"about_ca_system_score_gemma":0.0006801582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106889,"about_ca_topic_score_gemma":6.678769e-7,"domain_scores_codex":[0.9972692,0.0002288061,0.0009644498,0.000315415,0.0009787565,0.0002434077],"domain_scores_gemma":[0.9966936,0.0001316108,0.0009236041,0.001338502,0.0008298467,0.00008285748],"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":[0.0002617454,0.000357808,0.004979045,0.0002665262,0.00001502939,0.000001709861,0.00003030318,0.0004930721,0.9906796,0.001641654,0.0001527694,0.001120787],"study_design_scores_gemma":[0.0009043794,0.0002291841,0.004764711,0.0004537836,0.000008853643,0.000006713552,0.00002926777,0.0005963889,0.9769771,0.01507216,0.0008856885,0.00007179676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560112,0.0001030122,0.03300199,0.003353038,0.00001099743,0.001657237,0.00002290896,0.00002525238,0.005814322],"genre_scores_gemma":[0.9062346,0.00002988937,0.09296224,0.00001492016,0.00009306834,0.00008627461,0.000003157654,0.00001551769,0.0005602973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05996026,"threshold_uncertainty_score":0.3491634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856330466298433,"score_gpt":0.3800410010462787,"score_spread":0.3414776963832944,"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."}}