{"id":"W4403923471","doi":"10.1021/acsomega.4c06404","title":"Gelatin-Oxidized Alginate and Chitosan-Coated Zein Nanoparticle Hydrogel Composite to Enhance Breast Cancer Cytotoxicity in Dual-Drug Delivery","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundação de Apoio à Pesquisa do Estado da Paraíba; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal da Paraíba; University of Alberta","keywords":"Gelatin; Chitosan; Cytotoxicity; Drug delivery; Composite number; Nanoparticle; Breast cancer; Chemistry; Materials science; Chemical engineering; Nanotechnology; Medicine; Composite material; Cancer; Organic chemistry; Biochemistry; In vitro","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005808328,0.0003425163,0.0004209359,0.0002374401,0.0001611393,0.0002902529,0.0002399735,0.00009190525,0.00008825464],"category_scores_gemma":[0.00004131462,0.0003253908,0.00005707538,0.0009672538,0.0001622526,0.0007132737,0.0003040534,0.0002435004,0.0005811426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708654,"about_ca_system_score_gemma":0.0001481606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798338,"about_ca_topic_score_gemma":0.000446608,"domain_scores_codex":[0.9971236,0.0001766981,0.0005515222,0.0008629095,0.0004313155,0.0008539615],"domain_scores_gemma":[0.99886,0.0002427858,0.00007765568,0.0004186662,0.00006912935,0.0003317517],"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":[0.0002564969,0.0001336737,0.002329129,0.00007676805,0.00001759451,0.0002417325,0.001013534,0.0005187875,0.9941538,0.00006472799,0.000357092,0.0008366558],"study_design_scores_gemma":[0.0006605305,0.00004869509,0.00676492,0.000304585,0.00003279485,0.00005814866,0.00005017966,0.003773726,0.9876785,0.0001057382,0.0001040679,0.0004180655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948251,0.001258901,0.0000239489,0.002270274,0.0004186894,0.0005534887,0.0002275003,0.0003516779,0.0000704538],"genre_scores_gemma":[0.9984913,0.00006324446,0.0003496453,0.0006155778,0.00009537605,0.0001452413,0.000006751909,0.0000536656,0.0001792363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00647526,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00722340160788383,"score_gpt":0.253369184622647,"score_spread":0.2461457830147632,"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."}}