{"id":"W4405852291","doi":"10.1007/s11947-024-03731-3","title":"New Opportunities and Recent Advances in Carbon Dots for Sustainable and Intelligent Food Packaging","year":2024,"lang":"en","type":"article","venue":"Food and Bioprocess Technology","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"National Research Foundation of Korea","keywords":"Active packaging; Food packaging; Food safety; Food quality; Food spoilage; Food industry; Business; Computer science; Risk analysis (engineering); Nanotechnology; Biochemical engineering; Engineering; Materials science; Food science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268162,0.0001093237,0.0001511493,0.0002631583,0.00006147718,0.0001063679,0.00007654455,0.00009696613,0.000006206817],"category_scores_gemma":[0.00002891041,0.00009185117,0.000008256467,0.000261649,0.0001525169,0.0001326077,0.0001058821,0.00007292486,2.888644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001903755,"about_ca_system_score_gemma":0.00006384171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002384715,"about_ca_topic_score_gemma":0.0001962328,"domain_scores_codex":[0.99923,0.000004293735,0.0001529987,0.0003198582,0.00004881162,0.0002440204],"domain_scores_gemma":[0.9997494,0.00003059595,0.00002973071,0.00009301625,0.00004299834,0.00005422017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003732542,0.00003000141,0.0003024093,0.001093766,0.00001097634,0.00001193732,0.0005785782,6.196452e-7,0.02737655,0.5992652,0.00007943338,0.3712133],"study_design_scores_gemma":[0.0005083955,0.001289297,0.00007269218,0.0002277827,0.00003799143,0.0001136055,0.01591157,0.0005960754,0.2627361,0.3182788,0.3998052,0.0004224739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948449,0.09716039,0.0005818413,0.00635814,0.00006905981,0.0003536716,0.00001451887,0.0002001775,0.0004173295],"genre_scores_gemma":[0.9813483,0.01792885,0.0003334194,0.00003979141,0.0000282272,0.0001152301,0.000002809939,0.00001047913,0.0001928383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3997257,"threshold_uncertainty_score":0.3745582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403325020999633,"score_gpt":0.2775402138058391,"score_spread":0.2535069635958428,"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."}}