{"id":"W1995222086","doi":"10.1016/j.jcis.2009.10.059","title":"Scavenging H2S(g) from oil phases by means of ultradispersed sorbents","year":2009,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorption; Sorbent; Microemulsion; Chemical engineering; Naphthalene; Aqueous solution; Chemistry; Nanoparticle; Extraction (chemistry); Hydrocarbon; Catalysis; Scavenging; Chromatography; Adsorption; Organic chemistry; Pulmonary surfactant; Antioxidant","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":[0.0001807087,0.0003243128,0.0002614081,0.0002063341,0.0001490929,0.0002177605,0.0003093029,0.0003020997,0.0005744789],"category_scores_gemma":[0.000130866,0.0001732921,0.0001995279,0.00008152593,0.000208776,0.0002932475,0.000297282,0.0002865255,0.000314133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675454,"about_ca_system_score_gemma":0.0001545883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002535755,"about_ca_topic_score_gemma":0.0004842671,"domain_scores_codex":[0.9999062,0.00001400011,0.000006371139,0.00002195053,0.00002453101,0.00002698517],"domain_scores_gemma":[0.9999136,0.00001878463,0.00001332299,0.00001126705,0.00002031325,0.00002270574],"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":[0.00007909949,0.00001212248,0.00004318649,0.00001939513,0.00000432118,0.00002153984,0.00001154265,0.00006939426,0.9980937,0.00005704978,0.00002750511,0.001561163],"study_design_scores_gemma":[0.000006143072,0.00007865779,0.0001584281,8.330513e-7,0.000003463947,0.00001430888,0.000006248398,0.0005684794,0.9988099,0.00001985447,0.0003317259,0.000001967616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903369,0.0004846831,0.008150448,0.00007820555,0.00005835853,0.0000257823,0.00003997523,0.000104417,0.0007212666],"genre_scores_gemma":[0.9886488,0.0004283405,0.007454688,0.00009966659,0.00003371158,0.00002090897,0.00009343276,0.00002464577,0.003195828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005744789,"threshold_uncertainty_score":0.001921773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005913113471967781,"score_gpt":0.2298464249116827,"score_spread":0.223933311439715,"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."}}