{"id":"W4319017568","doi":"10.1016/j.psep.2023.01.068","title":"Encapsulation/capture of S-nZVI particles by PANa-PAM hydrogel limits their leakage and improves Cr(VI) removal","year":2023,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Innotech Alberta; National Natural Science Foundation of China","keywords":"Encapsulation (networking); Leakage (economics); Chemistry; Self-healing hydrogels; Chemical engineering; Materials science; Nanotechnology; Computer science; Engineering; Polymer chemistry; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001649132,0.0001828785,0.0001779498,0.00005653154,0.0001225614,0.00001894111,0.00005285105,0.0001183733,0.00002938281],"category_scores_gemma":[0.00001564292,0.0001724183,0.00002519161,0.0001125844,0.0001196305,0.0003103471,0.00003647074,0.00009719039,0.00001504157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005409849,"about_ca_system_score_gemma":0.000002610575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009323341,"about_ca_topic_score_gemma":0.000002333284,"domain_scores_codex":[0.9990757,0.00002255682,0.0002943514,0.0002369871,0.0001723117,0.0001980967],"domain_scores_gemma":[0.9997092,0.00002350296,0.0000852727,0.0001057905,0.000002232012,0.000074034],"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":[0.00005609607,0.00002853869,0.0008145007,0.0002180794,0.00002699575,0.000001031275,0.0006754036,0.005282243,0.9765974,0.000005821375,0.00001087343,0.01628301],"study_design_scores_gemma":[0.0008552087,0.0001199934,0.03378562,0.00005488184,0.00003277632,0.00002993582,0.00122565,0.07909136,0.8823932,0.0009349715,0.001098598,0.0003777639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963172,0.0008045347,0.001904308,0.00007627701,0.00007753062,0.0004682246,0.00009270951,0.0001696966,0.00008951208],"genre_scores_gemma":[0.9977474,0.001887201,0.00005166354,0.00001572324,0.00003446902,0.00006915124,0.00008956735,0.00003444782,0.00007036549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09420418,"threshold_uncertainty_score":0.7031014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007339255469412073,"score_gpt":0.1800592922386011,"score_spread":0.172720036769189,"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."}}