{"id":"W2965242098","doi":"10.11159/icepr19.157","title":"Removal of Pb2+ and Cd2+ From Contaminated Water Using Activated Carbon from Canola Seed Wastes","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Canola; Contamination; Activated carbon; Environmental chemistry; Environmental science; Carbon fibers; Contaminated water; Waste management; Chemistry; Pulp and paper industry; Materials science; Biology; Adsorption; Engineering; Food science; Ecology; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00007752533,0.0002078847,0.0003150179,0.0001183597,0.00005267676,0.00002896376,0.0005309507,0.0001538822,0.0001498383],"category_scores_gemma":[0.00005299913,0.0001253773,0.00006426366,0.0003343179,0.0004458165,0.0001624296,0.0005816598,0.0002215201,0.00001066141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009919358,"about_ca_system_score_gemma":0.000008242949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823694,"about_ca_topic_score_gemma":0.0001253504,"domain_scores_codex":[0.9988018,0.000007129636,0.0002840406,0.0003578188,0.0003153851,0.0002337927],"domain_scores_gemma":[0.9994035,0.00004078137,0.0002961523,0.0002024757,0.00002335727,0.00003370828],"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":[0.0001285189,0.00002444087,0.04549655,0.000007421836,0.00003508568,0.000001059013,0.00008640368,0.000009954731,0.9511437,0.0001536754,0.00007448519,0.002838695],"study_design_scores_gemma":[0.0006263811,0.00005346275,0.0122554,0.0001849795,0.00003295841,0.00000783941,0.0007561215,0.0008147752,0.9820923,0.001737068,0.001263973,0.0001747104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958149,0.00005748383,2.681729e-7,0.001045729,0.0002090705,0.0002997489,0.00002280838,0.0001926186,0.002357337],"genre_scores_gemma":[0.9953155,0.00002102893,0.0006390513,0.00003740014,0.00001005205,0.00000184537,0.000002057377,0.00001565073,0.003957423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03324115,"threshold_uncertainty_score":0.5112739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009129574826741562,"score_gpt":0.2057865632046566,"score_spread":0.196656988377915,"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."}}