{"id":"W7111147529","doi":"10.17632/dttrnys23t","title":"Brazilin-Loaded Biodegradable Electrospun Membranes with Tunable Release for Active and Intelligent Food Packaging - Litke et al. (2026)","year":2025,"lang":"","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Food packaging; Active packaging; Electrospinning; Membrane; Food spoilage; Fabrication; Chitosan","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":[0.002203453,0.0007892242,0.0008272419,0.004043071,0.0006130411,0.001634129,0.001231082,0.001003659,0.04563083],"category_scores_gemma":[0.009231277,0.000301528,0.001269199,0.004315761,0.000221379,0.0007012289,0.001380255,0.0008401402,0.02059522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008852007,"about_ca_system_score_gemma":0.002373062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01247049,"about_ca_topic_score_gemma":0.03036573,"domain_scores_codex":[0.9985531,0.0003117877,0.0002870723,0.0002829787,0.0004029172,0.0001620848],"domain_scores_gemma":[0.9954078,0.001913337,0.0009421872,0.0005632316,0.0009948444,0.0001786344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002149522,0.0002076816,0.02154747,0.02475101,0.0009684024,0.000194686,0.0002029318,0.001155995,0.006001927,0.002704133,0.8836536,0.05646276],"study_design_scores_gemma":[0.0008155089,0.0002142188,0.04319489,0.00287194,0.0005773702,0.0001403339,0.0002853889,0.0007727091,0.005146517,0.001092201,0.9448197,0.00006919452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001039424,0.0002040563,0.00008373601,0.0001233755,0.00001594818,0.00007571825,0.9975842,0.0001107022,0.0007627912],"genre_scores_gemma":[0.004337815,0.0003334927,0.001327786,0.00009587055,0.00001221654,0.0004947384,0.9907867,0.00005382176,0.002557486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04563083,"threshold_uncertainty_score":0.1526504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406576612719073,"score_gpt":0.3139059278112279,"score_spread":0.2732482665393206,"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."}}