{"id":"W4406557853","doi":"10.1007/978-981-97-9084-5_5","title":"Carbon-Based Nanomaterials in Food Packaging and Preservation","year":2025,"lang":"en","type":"book-chapter","venue":"Smart nanomaterials technology","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Food packaging; Carbon fibers; Materials science; Business; Environmental science; Food science; Chemistry; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006218133,0.000586475,0.001102042,0.001231592,0.0001261467,0.0001648207,0.000550235,0.00116989,0.0004663211],"category_scores_gemma":[0.0001460855,0.0006090993,0.00007608876,0.0001857238,0.0004077292,0.0001080895,0.0004285133,0.0001816419,0.00005022829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713256,"about_ca_system_score_gemma":0.0003320871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008116117,"about_ca_topic_score_gemma":0.0002604267,"domain_scores_codex":[0.9970158,0.00006590282,0.001115568,0.00103201,0.0002311662,0.0005395694],"domain_scores_gemma":[0.9980826,0.000148826,0.0005378109,0.001039619,0.0001184878,0.00007264698],"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":[0.00004789624,0.00003035662,0.0002765282,0.0002529875,0.00001878711,0.00001460851,0.00002194299,0.000001071897,0.782416,0.2162833,0.0001984687,0.0004380322],"study_design_scores_gemma":[0.001250979,0.0002469135,0.0002438824,0.0006944573,0.00009165391,0.00003583782,0.00001298261,0.00009462672,0.8470556,0.07955037,0.06970651,0.001016151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508012,0.0009891592,0.00003831947,0.001483057,0.001662347,0.001644519,0.000461482,0.0009309982,0.04198889],"genre_scores_gemma":[0.9763718,0.0002478746,0.001211179,0.0002056704,0.0001940504,0.0006844921,0.0002052027,0.0001336652,0.02074612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367329,"threshold_uncertainty_score":0.9996361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183676288643133,"score_gpt":0.2272294968440592,"score_spread":0.2153927339576279,"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."}}