{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001470158,0.0005082134,0.0001499505,0.0002329008,0.0001732408,0.0002252548,0.0001800309,0.0002215841,0.0007052295],"category_scores_gemma":[0.0001388335,0.0001713807,0.0001822295,0.0001737145,0.0001856671,0.0002670524,0.0002893661,0.0004004645,0.0002567515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614143,"about_ca_system_score_gemma":0.0002202615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003804592,"about_ca_topic_score_gemma":0.001646383,"domain_scores_codex":[0.9998733,0.00001066568,0.00001489596,0.00003068405,0.0000479646,0.00002248478],"domain_scores_gemma":[0.9999155,0.00001633896,0.00003032505,0.00001167417,0.0000161306,0.00001007901],"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":[0.000006588822,0.000007613485,0.00008069126,0.00006487851,0.000002525172,0.00004372847,0.00001504748,0.00007131451,0.9969765,0.00005912773,0.00002513127,0.002646919],"study_design_scores_gemma":[0.000001912995,0.00006900972,0.001433803,0.000009511093,0.000005151983,0.00014228,0.0000209636,0.0005471524,0.9960078,0.00002437483,0.001732196,0.000005911048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523926,0.002621483,0.03925664,0.0001200143,0.00008258399,0.0001323878,0.0001821748,0.0003142015,0.004898089],"genre_scores_gemma":[0.9609132,0.002295976,0.03194018,0.0001348815,0.00002134146,0.00009650843,0.000246426,0.00005066254,0.004300736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007052295,"threshold_uncertainty_score":0.002359271,"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."}}