{"id":"W1946213656","doi":"10.1002/jctb.4821","title":"Novel biological and chemical methods of chitin extraction from crustacean waste using saline water","year":2015,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Chitin; Seawater; Bacillus licheniformis; Extraction (chemistry); Chemistry; Shrimp; Bacillus subtilis; Food science; Nuclear chemistry; Chitosan; Chromatography; Biology; Biochemistry; Fishery; Bacteria; Ecology","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009586163,0.0002956784,0.000929493,0.0006356027,0.00003810728,0.00001953475,0.000712582,0.001669604,0.00005506158],"category_scores_gemma":[0.0006998387,0.0002112037,0.0001335603,0.0004265982,0.001379848,0.0001788995,0.0006243685,0.001033019,0.000007252048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325234,"about_ca_system_score_gemma":0.00007754206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001477963,"about_ca_topic_score_gemma":3.544769e-7,"domain_scores_codex":[0.9976043,0.00008030291,0.001120132,0.0004336931,0.000248826,0.0005127757],"domain_scores_gemma":[0.9982812,0.0001423946,0.0007449792,0.0004115315,0.0002636235,0.0001562313],"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":[0.0002351785,0.0001760452,0.0002905024,0.000008968597,0.00005095186,0.00002806531,0.00005547848,0.000005432691,0.9933787,0.0003337018,0.00002186549,0.005415093],"study_design_scores_gemma":[0.001261167,0.0003116459,0.000006672148,0.00007035444,0.0000827673,0.002584184,0.0003056158,0.0002216182,0.9868535,0.007490254,0.0005907092,0.0002215277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707176,0.000746027,0.02499642,0.002927115,0.0003290141,0.0001197449,0.00001773083,0.0001305779,0.00001574174],"genre_scores_gemma":[0.6975477,0.00002193763,0.3022687,0.00003020597,0.0001047172,0.000001304085,0.000004250868,0.00001961365,0.000001632527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2772723,"threshold_uncertainty_score":0.9996265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639409549277269,"score_gpt":0.3336593635508356,"score_spread":0.2872652680580629,"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."}}