{"id":"W2900944432","doi":"10.1016/j.seppur.2018.11.073","title":"Competitive adsorption equilibrium modeling of volatile organic compound (VOC) and water vapor onto activated carbon","year":2018,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ford Motor Company","keywords":"Adsorption; Activated carbon; Chemistry; Volatile organic compound; Acetone; Water vapor; Toluene; Thermodynamics; Chromatography; Organic chemistry","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":[0.0003862204,0.0006378003,0.0006425367,0.0005232909,0.000739667,0.0006947367,0.001642632,0.0012035,0.002419619],"category_scores_gemma":[0.0008293043,0.0003812941,0.0008496759,0.0004650938,0.0003125926,0.0006478217,0.0003387615,0.0005106209,0.0003826201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920252,"about_ca_system_score_gemma":0.001457384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05278248,"about_ca_topic_score_gemma":0.03055115,"domain_scores_codex":[0.9997475,0.00003466923,0.00001107288,0.00004189699,0.00009117937,0.00007377279],"domain_scores_gemma":[0.9995629,0.0002620344,0.00002564089,0.00001313814,0.0001156955,0.00002058297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002387206,0.0002201424,0.001757459,0.0002315556,0.0000588196,0.0001804947,0.00006921917,0.9303486,0.05030445,0.009297608,0.0004943463,0.006798637],"study_design_scores_gemma":[0.000005797158,0.0000467689,0.0002044592,0.000001104852,0.000005452375,0.000008138997,0.00001065864,0.9941843,0.00526444,0.0001478702,0.0001174089,0.000003599699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951317,0.0008548316,0.03293569,0.0001950479,0.00007300401,0.0001016395,0.0002519375,0.0001190738,0.01415185],"genre_scores_gemma":[0.9930803,0.0002901634,0.002218806,0.00003082257,0.000009883998,0.00005854057,0.0000918505,0.00001637478,0.004203388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05278248,"threshold_uncertainty_score":0.1049505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166462130096676,"score_gpt":0.2344228778647922,"score_spread":0.2227582565638254,"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."}}