{"id":"W3088813941","doi":"10.1002/chem.202003250","title":"Waste Cleaning Waste: Combining Alginate with Biowaste‐Derived Substances in Hydrogels and Films for Water Cleanup","year":2020,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Università degli Studi di Torino; H2020 Marie Skłodowska-Curie Actions; Compagnia di San Paolo","keywords":"Self-healing hydrogels; Adsorption; Human decontamination; Compost; Wastewater; Freundlich equation; Environmentally friendly; Chemistry; Sodium alginate; Waste management; Chemical engineering; Sewage treatment; Environmental chemistry; Pulp and paper industry; Environmental science; Sodium; Environmental engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001413421,0.000584809,0.0001647462,0.0002745688,0.0001213845,0.0003411067,0.0001877818,0.0003496319,0.000503829],"category_scores_gemma":[0.0001256128,0.0001718489,0.0003648371,0.0001965526,0.0001536866,0.0003606897,0.0002701003,0.0003103669,0.0001680074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916402,"about_ca_system_score_gemma":0.0001287865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005182726,"about_ca_topic_score_gemma":0.00137001,"domain_scores_codex":[0.9999003,0.00001236734,0.000009229323,0.00001842283,0.00002878834,0.00003082358],"domain_scores_gemma":[0.9999199,0.000009071364,0.00002591141,0.000006904185,0.00001497098,0.00002319124],"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":[0.0000214125,0.00001111512,0.00004808443,0.00004230026,0.000005263948,0.00002335853,0.000009449461,0.00007547909,0.9984092,0.00003725893,0.00001653794,0.001300597],"study_design_scores_gemma":[0.000003051514,0.00006405502,0.0004098026,0.000005779435,0.00001319194,0.00003619951,0.00001124896,0.0005102695,0.9981862,0.0000115954,0.0007438674,0.000004642808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892244,0.002482421,0.006465271,0.00009216153,0.00005935251,0.00002785279,0.0001321637,0.0001274883,0.001388871],"genre_scores_gemma":[0.9938611,0.0008364157,0.003867497,0.00004806071,0.000009518166,0.00001572522,0.00006343432,0.00001626989,0.001282005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000584809,"threshold_uncertainty_score":0.0016855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464544956993842,"score_gpt":0.1966554630023922,"score_spread":0.1820100134324538,"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."}}