{"id":"W3082498343","doi":"10.1016/j.jhazmat.2020.123861","title":"Exploration of nanocellulose washing agent for the green remediation of phenanthrene-contaminated soil","year":2020,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); Concordia University; University of Regina","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nanocellulose; Environmental remediation; Phenanthrene; Soil contamination; Zeta potential; Chemistry; Environmental chemistry; Contamination; Chemical engineering; Nanoparticle; Organic chemistry; Cellulose","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":[],"consensus_categories":[],"category_scores_codex":[0.001710389,0.0001448813,0.0005686197,0.00007446086,0.0001151316,0.00004333739,0.0003741578,0.00005332009,0.00006999176],"category_scores_gemma":[0.001099755,0.00009047437,0.0001234537,0.0001351602,0.0001413065,0.0005811891,0.0001090421,0.00006779896,0.000005429524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005519477,"about_ca_system_score_gemma":0.0001199573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004039509,"about_ca_topic_score_gemma":0.000009949912,"domain_scores_codex":[0.9976971,0.0001984573,0.001127425,0.0001452731,0.0005943772,0.0002373741],"domain_scores_gemma":[0.9969977,0.0003880438,0.001656364,0.0001644162,0.0007266861,0.00006686],"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":[0.0006586192,0.00004569355,0.000009242731,0.0003310334,0.00005657397,0.000004832409,0.003958251,0.0007657325,0.9921976,0.00007133178,0.0003096323,0.001591398],"study_design_scores_gemma":[0.0009074495,0.0005539528,0.00005524426,0.0001288419,0.00009349819,0.000003903177,0.001897317,0.0001360744,0.9951921,0.000616263,0.000329526,0.00008582094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790514,0.0007966622,0.01701505,0.001766256,0.0007658927,0.0004549762,0.000118193,0.00001257228,0.00001897545],"genre_scores_gemma":[0.9972405,0.0007385933,0.001431419,0.00004919253,0.0004682915,0.00001456192,0.000006931179,0.00002080749,0.00002970123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01818908,"threshold_uncertainty_score":0.3689438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06457687527896853,"score_gpt":0.3013758334097095,"score_spread":0.236798958130741,"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."}}