{"id":"W3004518518","doi":"10.1016/j.polymertesting.2020.106381","title":"Membranes based on non-synthetic (natural) polymers for wastewater treatment","year":2020,"lang":"en","type":"article","venue":"Polymer Testing","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Membrane; Materials science; Polymer; Biocompatibility; Environmentally friendly; Hazardous waste; Wastewater; Biopolymer; Biocompatible material; Cellulose; Synthetic membrane; Nanotechnology; Waste management; Biochemical engineering; Chemical engineering; Composite material; Engineering; Chemistry; Biomedical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0000582684,0.0002179702,0.0001816094,0.00003855949,0.0001691912,0.00003518541,0.0002272606,0.00005532342,0.0006809729],"category_scores_gemma":[0.0002267139,0.0001680318,0.00007728854,0.0002456176,0.0001094593,0.00009777021,0.00005490213,0.00007187021,0.0003198872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008153602,"about_ca_system_score_gemma":0.00001286832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001420288,"about_ca_topic_score_gemma":0.000006097249,"domain_scores_codex":[0.9988001,0.00002208397,0.0002025053,0.0004365673,0.0001972528,0.0003414965],"domain_scores_gemma":[0.999231,0.0003196538,0.00008534837,0.000260801,0.00000442708,0.00009878955],"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":[0.0001078019,0.0001082969,0.003474492,0.00005237142,0.00001991316,0.00001083792,0.0005895917,0.006384962,0.8761268,0.00003422497,0.0003256673,0.112765],"study_design_scores_gemma":[0.0005108055,0.0003622049,0.0002935318,0.00001538208,0.00002051628,0.000001994881,0.00007067493,0.1610526,0.8365692,0.00001750111,0.0008844349,0.0002012085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550787,0.0002686915,0.000571617,0.01488796,0.0002576575,0.001144071,0.00002678817,0.0009541325,0.02681037],"genre_scores_gemma":[0.9948601,0.000001396577,0.003012468,0.001259954,0.00005001167,0.000112259,0.000008688077,0.00002962907,0.0006655082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546676,"threshold_uncertainty_score":0.7456176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448456352582496,"score_gpt":0.2455643511615133,"score_spread":0.2110797876356883,"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."}}