{"id":"W2915579784","doi":"10.1007/s11356-019-04509-3","title":"Application of biochar for acid gas removal: experimental and statistical analysis using CO2","year":2019,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University; Memorial University of Newfoundland","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cape Breton University","keywords":"Biochar; Adsorption; Flue gas; Chemistry; Pyrolysis; Acid gas; Hydrogen sulfide; Methane; Freundlich equation; Landfill gas; Effluent; Fossil fuel; Environmental chemistry; Waste management; Pulp and paper industry; Environmental science; Environmental engineering; Inorganic chemistry; Organic chemistry; Sulfur","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339766,0.0005166824,0.0007173554,0.000787206,0.00084615,0.0005422827,0.0003716149,0.0005032429,0.0005024172],"category_scores_gemma":[0.001947748,0.0002103649,0.0007811636,0.001474908,0.0004908838,0.0003487545,0.0003352798,0.0003300593,0.0001046106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896072,"about_ca_system_score_gemma":0.000740142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008474219,"about_ca_topic_score_gemma":0.008592506,"domain_scores_codex":[0.9990581,0.0002026262,0.00008983331,0.0001548357,0.0003803787,0.0001142352],"domain_scores_gemma":[0.9985315,0.0006569781,0.0001139025,0.0001320182,0.0005215171,0.00004407716],"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":[0.00248563,0.000653175,0.02765797,0.0002195004,0.0001607154,0.00008452435,0.0001599528,0.005016379,0.942933,0.0002391035,0.00007507599,0.02031505],"study_design_scores_gemma":[0.00002117208,0.001075289,0.04159595,0.000004076643,0.0001645365,0.00007131818,0.0001228949,0.01671305,0.9395579,0.00009688122,0.0005443487,0.00003259155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933873,0.0001947889,0.005719872,0.00001641586,0.00001181502,0.00003791961,0.0002204466,0.00002973354,0.0003815276],"genre_scores_gemma":[0.9936097,0.0002288555,0.005425377,0.000009581679,0.000008319485,0.00003333912,0.000275122,0.00001772151,0.0003920289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008474219,"threshold_uncertainty_score":0.01684982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218499440187953,"score_gpt":0.312252135462887,"score_spread":0.2904021914440917,"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."}}