{"id":"W3163437661","doi":"10.22034/fr.2021.39570.1736","title":"پایدارسازی آنتوسیانینهای عصاره چای ترش با استفاده از پلی فنلها","year":2021,"lang":"fa","type":"article","venue":"Journal of Food Research","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009634028,0.001053438,0.0005603448,0.001208362,0.001868959,0.00265328,0.0008194786,0.001562084,0.1093863],"category_scores_gemma":[0.002567559,0.000862392,0.0005992987,0.001318354,0.001330158,0.001879892,0.001579167,0.001930839,0.08231937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450686,"about_ca_system_score_gemma":0.003278263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003456176,"about_ca_topic_score_gemma":0.003252133,"domain_scores_codex":[0.9983839,0.0001520528,0.0001361278,0.000306063,0.0007973557,0.0002243993],"domain_scores_gemma":[0.9982675,0.000223657,0.0002226502,0.0001541607,0.0009528645,0.0001791346],"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":[0.00208026,0.0004516723,0.003048175,0.002210124,0.00007282465,0.002833131,0.003825367,0.001492978,0.6532924,0.04191557,0.04275041,0.246027],"study_design_scores_gemma":[0.0001165697,0.0004930868,0.01126164,0.0004267559,0.00009194944,0.002180409,0.004599997,0.001510815,0.4408226,0.01043392,0.5278215,0.0002407182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2352074,0.009110026,0.09385993,0.004864643,0.004063775,0.001211033,0.003084539,0.003264784,0.6453339],"genre_scores_gemma":[0.349536,0.008421408,0.08637594,0.001451458,0.0004555918,0.00149227,0.003862042,0.002668859,0.5457364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1093863,"threshold_uncertainty_score":0.3659338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09516834486187178,"score_gpt":0.3598155615629184,"score_spread":0.2646472167010466,"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."}}