{"id":"W4386594812","doi":"10.1155/2023/4127663","title":"Spray Encapsulation of Iron in Chitosan Biopolymer for Tea Fortification","year":2023,"lang":"en","type":"article","venue":"Journal of Food Quality","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Grand Challenges Canada; Schlumberger Foundation","keywords":"Chitosan; Chemistry; Bioavailability; Polyphenol; Chelation; Food science; Maltodextrin; Biopolymer; Antioxidant; Fortification; Spray drying; Nuclear chemistry; Chromatography; Biochemistry; Organic chemistry; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007409116,0.00005373786,0.0001508407,0.00004087945,0.00004391808,0.00001385412,0.0001035631,0.00005249989,0.00002956788],"category_scores_gemma":[0.0002599572,0.00002267214,0.00008622889,0.0004025268,0.00002037641,0.0001339597,0.000009585147,0.00005330491,0.000001447322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008635692,"about_ca_system_score_gemma":0.00001353544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002780829,"about_ca_topic_score_gemma":0.00009729903,"domain_scores_codex":[0.9990243,0.00006238536,0.0005646959,0.00008311815,0.0001656699,0.00009987616],"domain_scores_gemma":[0.9991435,0.0001792691,0.0005209813,0.00002967157,0.00009286495,0.00003369996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000597953,0.00006274542,0.01034744,0.00003575713,0.000004599545,1.00799e-7,0.0001921792,0.00003136598,0.9691998,0.0005737622,0.00008930281,0.01940309],"study_design_scores_gemma":[0.000256034,0.0003224607,0.6206956,0.00003151984,0.000006574187,0.00000161664,0.0004813203,0.00004902393,0.3751855,0.002180759,0.0007201331,0.00006950795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982995,0.00009740096,0.00005806644,0.001220764,0.0001031147,0.0001012597,0.00002298778,0.00001044227,0.00008645882],"genre_scores_gemma":[0.9996732,0.00002281807,0.0001100865,0.00003255087,0.0001085575,0.000002505059,0.00002294292,5.381493e-7,0.00002682988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6103482,"threshold_uncertainty_score":0.09245431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09170975997850539,"score_gpt":0.3332787575661827,"score_spread":0.2415689975876773,"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."}}