{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005263891,0.0004309619,0.0004286839,0.00007270675,0.001049716,0.0008423049,0.001248334,0.000202858,0.00008366347],"category_scores_gemma":[0.0007797974,0.0004944081,0.0001303854,0.000126577,0.0001409183,0.0006705069,0.0006400087,0.0002514352,0.00001427734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000434617,"about_ca_system_score_gemma":0.0001798718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008625019,"about_ca_topic_score_gemma":1.810572e-7,"domain_scores_codex":[0.9970189,0.000006970499,0.0003904012,0.000605603,0.000259978,0.001718195],"domain_scores_gemma":[0.9976571,0.00009007694,0.0002642219,0.001290786,0.0004656469,0.0002321239],"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":[0.0000285525,0.00004210185,0.00006612937,0.00188657,0.00002359338,0.0002492832,0.0004941099,0.002799678,0.9914197,0.002012127,0.0009465941,0.00003157761],"study_design_scores_gemma":[0.0007446384,0.00003207286,0.00006654667,0.00006557662,0.00004909644,0.00007724531,0.002772979,0.000450267,0.9594612,0.0002910728,0.03542897,0.0005603571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924402,0.000373142,0.002696141,0.0003869364,0.0002124699,0.0006892052,0.00002775264,0.0003805399,0.002793567],"genre_scores_gemma":[0.9651557,0.000008394341,0.007143811,0.00003859852,0.0003553835,0.0001918111,0.00005424878,0.0001286003,0.0269235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03448237,"threshold_uncertainty_score":0.9997507,"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."}}