{"id":"W2765517707","doi":"10.1021/acssuschemeng.7b03053","title":"Porous Chitin Microbeads for More Sustainable Cosmetics","year":2017,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Small Business Innovative Research and Small Business Technology Transfer; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Chitin; Bead; Chemical engineering; Biopolymer; Chitosan; Nanocellulose; Materials science; Chemistry; Aqueous solution; Microbead (research); Polymer; Organic chemistry; Cellulose; Composite material","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":[0.0001984393,0.0003777775,0.0002344492,0.0002625695,0.0001160956,0.0005089889,0.0001891672,0.000553844,0.00224053],"category_scores_gemma":[0.0001608932,0.000161112,0.0003646187,0.0001408498,0.0001722392,0.000405385,0.0003006872,0.0007214202,0.0008176994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004456936,"about_ca_system_score_gemma":0.000177774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005406204,"about_ca_topic_score_gemma":0.001214519,"domain_scores_codex":[0.9998819,0.00001519114,0.000006418491,0.00002233181,0.00004142741,0.00003269878],"domain_scores_gemma":[0.9999219,0.00001873951,0.00001815434,0.000005736963,0.00002003839,0.0000154305],"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":[0.00001724006,0.00002178834,0.00003196464,0.0001074485,0.000005543307,0.00004506421,0.00001022109,0.0001691857,0.9946465,0.0002310618,0.0001533225,0.004560628],"study_design_scores_gemma":[0.00001952626,0.0002281668,0.0009172308,0.0000261578,0.00001750156,0.0001720342,0.00002776057,0.001582376,0.9836948,0.0002040458,0.01309403,0.00001628812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7603366,0.05402757,0.154575,0.002273593,0.0009619816,0.0004795807,0.001272499,0.00200685,0.02406636],"genre_scores_gemma":[0.9425186,0.009806255,0.03434319,0.000885019,0.00009668287,0.000103627,0.0005656081,0.0001098682,0.01157115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00224053,"threshold_uncertainty_score":0.007495344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005659220243461141,"score_gpt":0.2313617708258134,"score_spread":0.2257025505823523,"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."}}