{"id":"W2132929353","doi":"10.1080/10942910902927102","title":"Introduction of New Computer Softwares for Classification and Prediction Purposes of Bioactive Peptides: Case Study in Antioxidative Tripeptides","year":2010,"lang":"en","type":"article","venue":"International Journal of Food Properties","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Southeast Asian Regional Center for Graduate Study and Research in Agriculture","keywords":"Tripeptide; Prolamin; Biochemistry; Chemistry; Linoleic acid; Food science; Antioxidant; Peptide; Rice protein; Storage protein","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002253943,0.0009553923,0.0008742815,0.002038245,0.0003342193,0.001379276,0.00109594,0.0008130601,0.00420528],"category_scores_gemma":[0.005446751,0.0005247867,0.0008573107,0.001525781,0.0004355718,0.001523568,0.0009509192,0.00125479,0.001982523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223858,"about_ca_system_score_gemma":0.0004356777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261945,"about_ca_topic_score_gemma":0.0008886576,"domain_scores_codex":[0.9989484,0.0001892453,0.0002082046,0.0002932513,0.0003023209,0.00005856853],"domain_scores_gemma":[0.9962308,0.002114162,0.000206133,0.0004714991,0.0008152929,0.0001621297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001499853,0.000423069,0.01088458,0.0007893581,0.0003131223,0.0007694522,0.0006478429,0.01118101,0.07339834,0.007233276,0.007435874,0.8854243],"study_design_scores_gemma":[0.000318594,0.001076546,0.0175535,0.0002943111,0.0003394987,0.00208588,0.0002753971,0.7147698,0.1845318,0.009711443,0.06884029,0.0002028504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07682181,0.0008519199,0.859771,0.0002574985,0.0001152823,0.0003717333,0.001373743,0.0571321,0.00330508],"genre_scores_gemma":[0.1915143,0.0005612052,0.7963114,0.0001734196,0.00007163949,0.0005345872,0.002954489,0.002735103,0.00514379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00420528,"threshold_uncertainty_score":0.01406807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028102552321047,"score_gpt":0.2811061701689536,"score_spread":0.2508251446457431,"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."}}