{"id":"W1982152162","doi":"10.1021/jf034744i","title":"Pattern Similarity Analysis of Amino Acid Sequences for Peptide Emulsification","year":2004,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia; Dalhousie University","funders":"Morinaga Milk Industry","keywords":"Peptide; Amino acid; Chemistry; Homology (biology); Residue (chemistry); Proline; Polar; Structural similarity; Biological system; Chromatography; Biochemistry; Biology; Physics","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":[0.001090908,0.0003634591,0.000683237,0.001934914,0.0002908929,0.0005760437,0.0005084194,0.0004845233,0.002885934],"category_scores_gemma":[0.003219399,0.0002109536,0.0007711047,0.001830458,0.0003476155,0.0008457961,0.0005375389,0.0006045967,0.0008608268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509548,"about_ca_system_score_gemma":0.0006246185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000805337,"about_ca_topic_score_gemma":0.0008484849,"domain_scores_codex":[0.9993631,0.0001592599,0.0000822819,0.0001543804,0.0001940979,0.00004686618],"domain_scores_gemma":[0.9990922,0.000463484,0.0001245876,0.0000864873,0.0001734213,0.00005987493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001307498,0.0005037658,0.02426061,0.0008299606,0.0003638556,0.000688561,0.0003065362,0.04318682,0.3499705,0.01125929,0.002559017,0.5647636],"study_design_scores_gemma":[0.0001071835,0.001005331,0.0192519,0.00003258435,0.000134234,0.001230886,0.0001272849,0.8615311,0.09857929,0.01121748,0.006727612,0.00005500001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2981818,0.0005635433,0.6949028,0.0001498748,0.00004494813,0.0002633513,0.001228727,0.002782428,0.001882438],"genre_scores_gemma":[0.6089836,0.0002855442,0.3863089,0.00005060022,0.00002174255,0.0003110564,0.002734836,0.0001852034,0.001118558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002885934,"threshold_uncertainty_score":0.009654403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008901864171211707,"score_gpt":0.2349119577001838,"score_spread":0.2260100935289721,"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."}}