{"id":"W4292313633","doi":"10.1021/acssuschemeng.2c02966","title":"Extraction of Chitin from Green Crab Shells by Mechanochemistry and Aging","year":2022,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation; Parks Canada; McGill University; Centre in Green Chemistry and Catalysis; Marine Environmental Observation Prediction and Response Network; American Chemical Society","keywords":"Chitin; Extraction (chemistry); Mechanochemistry; Chemistry; Citric acid; Chemical engineering; Pulp and paper industry; Food science; Organic chemistry; Chitosan","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":[0.0002698421,0.0002287388,0.000257555,0.00004329386,0.0002057245,0.0000600043,0.0003215071,0.0000698196,0.0007173314],"category_scores_gemma":[0.0000508046,0.0002964518,0.00004845027,0.0002274248,0.00003210036,0.0002346045,0.0004525851,0.0002961545,0.000001678298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259925,"about_ca_system_score_gemma":0.00004858146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003671815,"about_ca_topic_score_gemma":7.394785e-8,"domain_scores_codex":[0.9984439,0.00001525491,0.0003075489,0.0004235886,0.000310637,0.0004990823],"domain_scores_gemma":[0.9992479,0.00009169551,0.0001557834,0.0003331376,0.00006158223,0.0001099173],"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":[0.00001252074,0.00003055506,0.00005593169,0.0004317155,0.00001700195,0.00004335646,0.0002982488,0.002467265,0.9963794,0.00002984273,0.0001653098,0.00006879627],"study_design_scores_gemma":[0.0003064581,0.00001378098,0.00002194902,0.00003135363,0.00002718037,0.00005282676,0.001691432,0.0006654205,0.9916977,0.0001085008,0.005104685,0.0002787302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971641,0.00102092,0.0006113564,0.0001015942,0.0000765346,0.0001181126,0.00009420569,0.0001525637,0.0006606441],"genre_scores_gemma":[0.9966035,0.00001020193,0.0009878785,0.00001704638,0.00008526062,0.00005142763,0.0001030342,0.00004690662,0.002094747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004939375,"threshold_uncertainty_score":0.9999487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002376301529409921,"score_gpt":0.1842258398289965,"score_spread":0.1818495382995865,"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."}}