{"id":"W3181783032","doi":"10.1016/j.jhazmat.2021.126599","title":"Biodegradable and re-usable sponge materials made from chitin for efficient removal of microplastics","year":2021,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":239,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Key Technology Research and Development Program of Shandong; Canada Research Chairs","keywords":"Microplastics; Chitin; Polystyrene; Adsorption; Sponge; Chemical engineering; Environmentally friendly; Materials science; Polylactic acid; Dispersant; Chemistry; Nanotechnology; Polymer; Environmental chemistry; Chitosan; Organic chemistry; Dispersion (optics); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006481608,0.0001686071,0.0005213152,0.00004959722,0.00008550905,0.00009864979,0.0001406299,0.0001049609,0.002509631],"category_scores_gemma":[0.0003633931,0.0001392803,0.00006794769,0.00007858945,0.000110357,0.0000674227,0.0001239959,0.00005638666,0.00002381608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007006629,"about_ca_system_score_gemma":0.00004958841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001209289,"about_ca_topic_score_gemma":0.00001808699,"domain_scores_codex":[0.9983497,0.0001033551,0.0008095213,0.0002020944,0.0002643208,0.0002709898],"domain_scores_gemma":[0.9987733,0.0002376306,0.0006593904,0.0001591217,0.00006216526,0.0001083868],"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":[0.0003786186,0.00009450765,0.00009070479,0.0000526463,0.00004057044,0.0001186405,0.00009418988,0.0004127155,0.996107,0.0000496653,0.00233414,0.0002265344],"study_design_scores_gemma":[0.0009469621,0.0001649194,0.00258171,0.0001321564,0.0001152807,0.0006383959,0.00006371214,0.00008302663,0.9874133,0.0004433833,0.007265759,0.0001514104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933904,0.0002617983,0.003091285,0.0001746178,0.001509689,0.0001261391,0.001346222,0.000005245465,0.00009457731],"genre_scores_gemma":[0.9725794,0.0001419246,0.02667263,0.00007048716,0.0002517408,0.000001764316,0.00003032582,0.00002229977,0.0002294021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02358134,"threshold_uncertainty_score":0.9984022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023012731342314,"score_gpt":0.2107045904748102,"score_spread":0.200474463161387,"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."}}