{"id":"W4394061547","doi":"10.1002/ansa.202300065","title":"Biopolymer‐based intelligent packaging integrated with natural colourimetric sensors for food safety and sustainability","year":2024,"lang":"en","type":"article","venue":"Analytical Science Advances","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food packaging; Biopolymer; Food spoilage; Food safety; Sustainability; Natural food; Food industry; Biochemical engineering; Environmental science; Biotechnology; Business; Food science; Engineering; Chemistry; Biology","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":[0.0003942513,0.000539618,0.0003900065,0.0004832695,0.0001114856,0.0005306446,0.0004018181,0.0008207588,0.0007728103],"category_scores_gemma":[0.0003366831,0.0002948317,0.0004471083,0.0003534817,0.0003290743,0.0009920048,0.0004564462,0.0006214962,0.0004801396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813179,"about_ca_system_score_gemma":0.0001488487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001442548,"about_ca_topic_score_gemma":0.0002733498,"domain_scores_codex":[0.9997504,0.00004808652,0.00001563647,0.00006183401,0.00009636333,0.00002759482],"domain_scores_gemma":[0.9998291,0.00004600658,0.00005402867,0.00001212139,0.00004649565,0.00001235779],"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":[0.00005246962,0.00003642112,0.0003067093,0.001030987,0.00003365259,0.0001137583,0.00003767435,0.0004990759,0.9532552,0.001440102,0.0004562587,0.04273754],"study_design_scores_gemma":[0.000008039743,0.000378176,0.001631894,0.0001206779,0.0000872301,0.0003804227,0.00005056427,0.004355443,0.9540102,0.0006029839,0.03834052,0.00003377874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4421596,0.2571418,0.273498,0.001406411,0.001540589,0.0002299756,0.0004672667,0.001665961,0.02189044],"genre_scores_gemma":[0.7882052,0.07614399,0.1232285,0.001069153,0.0003411537,0.0001606148,0.0003347223,0.0001537675,0.0103629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008207588,"threshold_uncertainty_score":0.002585292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009929598297341259,"score_gpt":0.3068758901216809,"score_spread":0.2969462918243396,"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."}}