{"id":"W4409198133","doi":"10.1016/j.carpta.2025.100788","title":"Sustainable development of chitosan-gelatin composite films for food packaging using crude chitosan extracted from American lobster (Homarus americanus) shell waste","year":2025,"lang":"en","type":"article","venue":"Carbohydrate Polymer Technologies and Applications","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Energy; Dalhousie University","funders":"Mitacs","keywords":"Chitosan; Homarus; Gelatin; American lobster; Composite number; Shell (structure); Food packaging; Chemistry; Food science; Fishery; Materials science; Biology; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128832,0.0004210309,0.000140902,0.0002596019,0.0001229184,0.0002369095,0.0001509733,0.0002612516,0.0005532459],"category_scores_gemma":[0.00008727775,0.0001695285,0.0003059399,0.000194852,0.00008242686,0.0002623791,0.0001708075,0.0002590478,0.0001435792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001976204,"about_ca_system_score_gemma":0.0001757806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007367093,"about_ca_topic_score_gemma":0.002569388,"domain_scores_codex":[0.9999478,0.000005162585,0.000005238461,0.00001085004,0.00001930524,0.00001163056],"domain_scores_gemma":[0.9999489,0.000006723701,0.00001916097,0.000002638119,0.00001177639,0.00001078522],"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":[0.000006507162,0.000006567136,0.00005763907,0.00003823571,0.000002826055,0.00003253029,0.000003965284,0.00003667157,0.9990391,0.00001051871,0.00000881291,0.0007567019],"study_design_scores_gemma":[0.00000280964,0.0001209545,0.001959333,0.00000705969,0.00001590145,0.0001014966,0.00001564868,0.0003502149,0.9967603,0.000006867767,0.0006556513,0.000003691811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893888,0.001952696,0.006470254,0.00007492359,0.0000216886,0.00004484507,0.0001494566,0.0000785057,0.001818781],"genre_scores_gemma":[0.9870772,0.001540653,0.009260318,0.00004509456,0.000004212458,0.00003352667,0.0001742797,0.00001552913,0.00184916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007367093,"threshold_uncertainty_score":0.001850784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002188340244328,"score_gpt":0.2476049022199708,"score_spread":0.2375830188175275,"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."}}