{"id":"W3038236426","doi":"","title":"Adsorbent prepared from sewage sludge by chemical activation and its application to sulfur dioxide adsorption","year":2004,"lang":"en","type":"article","venue":"","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Northern British Columbia","funders":"","keywords":"Adsorption; Sulfur dioxide; Sewage sludge; Chemistry; Sewage; Sulfur; Environmental chemistry; Waste management; Environmental science; Inorganic chemistry; Organic chemistry; Environmental engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003686736,0.0004288919,0.0005129116,0.0007972551,0.0005565205,0.0004570043,0.0002393717,0.0006465264,0.0007177038],"category_scores_gemma":[0.0002812454,0.0002742572,0.0005344322,0.0005382295,0.0004425818,0.0002253081,0.0002344144,0.0003890178,0.0002376509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002641938,"about_ca_system_score_gemma":0.0004280156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218285,"about_ca_topic_score_gemma":0.001621484,"domain_scores_codex":[0.9998186,0.00004856071,0.00001405457,0.00002481008,0.00005601097,0.00003797301],"domain_scores_gemma":[0.9998885,0.00003675599,0.00001076839,0.00001312895,0.00003295392,0.00001792028],"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":[0.000159837,0.00003887183,0.0001518505,0.00008637466,0.00000702949,0.00004621702,0.00003757891,0.0002282163,0.9964607,0.0001380589,0.00003192899,0.002613357],"study_design_scores_gemma":[0.00001053785,0.0002851909,0.00124644,0.000003647267,0.00001836703,0.00005016435,0.00002994274,0.0006422375,0.9966266,0.00004781556,0.00103096,0.000008032437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990716,0.001412234,0.005350728,0.0001338206,0.00007840137,0.00004194274,0.00007297156,0.00007177451,0.002122062],"genre_scores_gemma":[0.9919347,0.001014683,0.004021333,0.00003411414,0.0000347005,0.0000213342,0.0001034274,0.00001814704,0.002817696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001218285,"threshold_uncertainty_score":0.002422333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008166154059986726,"score_gpt":0.2123073590932724,"score_spread":0.2041412050332856,"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."}}