{"id":"W2517294284","doi":"10.1021/acssuschemeng.6b01434","title":"Pulping of Crustacean Waste Using Ionic Liquids: To Extract or Not To Extract","year":2016,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Office of Nuclear Energy; Office of Science; U.S. Department of Energy","keywords":"Ionic liquid; Chitin; Acetic acid; Environmentally friendly; Extraction (chemistry); Pulp and paper industry; Chemistry; Biomass (ecology); Raw material; Organic chemistry; Shrimp; Waste management; Chemical engineering; Materials science; Chitosan; Catalysis; Engineering; Biology","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":[0.0005745653,0.0004106819,0.0004677097,0.0001923829,0.0001451541,0.0001327595,0.0006775315,0.0001463971,0.0003258118],"category_scores_gemma":[0.000694453,0.000347667,0.0001049362,0.0006724271,0.00003414023,0.0006188295,0.0004569842,0.0001632404,0.00003512716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007112161,"about_ca_system_score_gemma":0.0002971098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005786419,"about_ca_topic_score_gemma":6.87267e-7,"domain_scores_codex":[0.9970193,0.00001716469,0.0006171936,0.0006354689,0.0004307279,0.001280146],"domain_scores_gemma":[0.998184,0.0001896306,0.000165675,0.0007564172,0.0002919378,0.0004123754],"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":[0.000152463,0.00003573954,0.00002595571,0.0006804725,0.00001620003,0.0001343981,0.0004350282,0.02481768,0.9732985,0.00006363216,0.00006489285,0.0002750304],"study_design_scores_gemma":[0.0003506909,0.00007767331,0.00002601172,0.0005561737,0.00002933265,0.00009527116,0.001042481,0.000427478,0.9932202,0.000006346675,0.003653237,0.0005151054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839253,0.00008344896,0.01471114,0.000219958,0.0001671626,0.0004134526,0.00001971161,0.0002270108,0.0002328008],"genre_scores_gemma":[0.9851898,0.000004341027,0.01054513,0.00004511187,0.0002467748,0.00002742838,0.000002631667,0.0001052412,0.003833569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0243902,"threshold_uncertainty_score":0.9998975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310554827666131,"score_gpt":0.2559273061172266,"score_spread":0.2428217578405653,"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."}}