{"id":"W4404841239","doi":"10.1016/b978-0-443-13453-1.00016-4","title":"Application of microfluidics in food packaging","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Microfluidics; Nanotechnology; Food packaging; Materials science; Chemistry; Food science","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":[0.0002465956,0.001003445,0.000536862,0.001422592,0.0004704451,0.001627458,0.0008750819,0.001215672,0.02091869],"category_scores_gemma":[0.0002404113,0.0005661665,0.0005683689,0.001429802,0.0004252973,0.001537503,0.0009404353,0.001226439,0.008664916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005330233,"about_ca_system_score_gemma":0.0004460717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006063138,"about_ca_topic_score_gemma":0.00109054,"domain_scores_codex":[0.9998448,0.00001225469,0.000007246124,0.00003507161,0.00008841,0.00001209841],"domain_scores_gemma":[0.9999104,0.00004291023,0.000005248896,0.000006881965,0.00002704054,0.000007590281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006112853,0.0001625747,0.000162312,0.001987628,0.00002489566,0.0005321619,0.0002069017,0.00174842,0.08617487,0.06316571,0.07476465,0.7710088],"study_design_scores_gemma":[0.000007001831,0.00007378666,0.0003306535,0.0004671513,0.00001383213,0.0007692509,0.00004765129,0.001431017,0.01734531,0.01189385,0.9676024,0.00001801684],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004074094,0.4965964,0.05574009,0.001736297,0.005444435,0.0001050493,0.0002605537,0.0006525295,0.4353906],"genre_scores_gemma":[0.01969112,0.2641514,0.03936933,0.001351938,0.001496094,0.0001161669,0.0003003303,0.0001846734,0.6733389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02091869,"threshold_uncertainty_score":0.06998003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006401472839778301,"score_gpt":0.1972261691615793,"score_spread":0.190824696321801,"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."}}