{"id":"W7083031835","doi":"10.1016/j.seppur.2025.135224","title":"Lewatit 1065 VP OC for direct air capture; an analysis of adsorption characteristics using dynamic column breakthrough","year":2025,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Government of Canada; Innovationsfonden","keywords":"Sorbent; Mass transfer; Adsorption; Desorption; Macropore; Particle (ecology); Breakthrough curve; Work (physics)","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":[0.0002750939,0.0004010987,0.0003655485,0.0005432348,0.0002765452,0.0005209809,0.0004711093,0.0004701682,0.002619912],"category_scores_gemma":[0.0004189816,0.0001559913,0.0002816555,0.0004435437,0.0002205178,0.0003303646,0.0002723288,0.0005319656,0.001101047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088276,"about_ca_system_score_gemma":0.0002379019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004335827,"about_ca_topic_score_gemma":0.004301393,"domain_scores_codex":[0.9996402,0.00002977192,0.00001327704,0.00007284162,0.0002069229,0.00003709071],"domain_scores_gemma":[0.9997837,0.0000736927,0.00003281484,0.00001700427,0.00007546243,0.0000174478],"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":[0.0001261434,0.00003274536,0.001618404,0.00009595318,0.00001493785,0.00004999404,0.00004749551,0.0006106335,0.9896765,0.00008685885,0.0002617812,0.00737854],"study_design_scores_gemma":[0.000006633463,0.0002359912,0.01314408,0.00001445335,0.00001950397,0.000130642,0.00008379252,0.009420598,0.9733815,0.0000527327,0.00348091,0.00002918855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742996,0.001577542,0.01561319,0.00008598473,0.00003671454,0.00009212893,0.003110961,0.0004191095,0.00476485],"genre_scores_gemma":[0.9773946,0.001289415,0.01254494,0.0001200909,0.00001042731,0.0001168713,0.002622683,0.0001789981,0.005721866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004335827,"threshold_uncertainty_score":0.008764505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116235937269981,"score_gpt":0.2970591451362824,"score_spread":0.2854355514092843,"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."}}