{"id":"W3106922727","doi":"10.3390/molecules25235563","title":"Carrageenan-Based Films Incorporated with Jaboticaba Peel Extract: An Innovative Material for Active Food Packaging","year":2020,"lang":"en","type":"article","venue":"Molecules","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Universidade Federal do Pampa; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Carrageenan; Active packaging; Extraction (chemistry); Food packaging; Antioxidant; Materials science; Food science; Solubility; Homogeneous; Chemistry; Chemical engineering; Chromatography; Mathematics; Organic chemistry","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":[0.00007171167,0.0002554513,0.0002502991,0.00001751933,0.0002113201,0.0001408552,0.0002774774,0.00009881402,0.0001392738],"category_scores_gemma":[0.00008162883,0.0001047528,0.00005171394,0.0006656893,0.0001361627,0.0002057388,0.00004717239,0.0001368697,0.000005645503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003020904,"about_ca_system_score_gemma":0.00004263157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006959053,"about_ca_topic_score_gemma":0.0001434739,"domain_scores_codex":[0.998666,0.00008672417,0.000187803,0.00050538,0.0002158886,0.0003381268],"domain_scores_gemma":[0.9990863,0.0001285846,0.0001664833,0.00006761705,0.0003864793,0.0001645613],"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":[0.0008050122,0.00009669955,0.001018208,0.00001133307,0.00004344155,0.00001024716,0.0002275603,0.00004557535,0.9905021,0.0001214815,0.0001180341,0.007000288],"study_design_scores_gemma":[0.0007949065,0.00443327,0.06515611,0.00003013757,0.00002800341,0.000003128315,0.001864678,0.002012684,0.9234695,0.0001696998,0.001513981,0.0005238756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945111,0.00000802172,0.0009706825,0.002772573,0.0000641837,0.0005438848,0.0006730753,0.0001622746,0.0002941685],"genre_scores_gemma":[0.9939109,3.952642e-7,0.003778498,0.001206778,0.000199132,0.00008109775,0.0008076324,0.000005522168,0.00001003778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0670326,"threshold_uncertainty_score":0.4271697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888518940702784,"score_gpt":0.2288315387942575,"score_spread":0.1899463493872297,"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."}}