{"id":"W2618065864","doi":"10.1016/j.enbuild.2017.05.046","title":"Particulate fouling assessment in membrane based air-to-air energy exchangers","year":2017,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"dPoint Technologies (Canada); University of British Columbia","funders":"","keywords":"Fouling; Heat exchanger; Particulates; Materials science; Membrane fouling; Relative humidity; Membrane; Environmental engineering; Filtration (mathematics); Permeance; Composite material; Environmental science; Chemical engineering; Waste management; Chemistry; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447095,0.0001521935,0.0001689289,0.00007811874,0.0003086605,0.00005786603,0.0003339993,0.000100032,0.0002913403],"category_scores_gemma":[0.00005538945,0.000139863,0.00003308067,0.0001144277,0.0001640542,0.000278093,0.0002756918,0.00007999613,0.00001100314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007219638,"about_ca_system_score_gemma":0.000009829576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915956,"about_ca_topic_score_gemma":0.001264253,"domain_scores_codex":[0.9988943,0.00002877606,0.0001799587,0.0003853682,0.0002106737,0.0003008687],"domain_scores_gemma":[0.999345,0.00003756926,0.0001058725,0.0004085589,0.000004988653,0.00009802901],"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":[0.0001835759,0.0003360001,0.07205734,0.00006219356,0.00005156978,0.0001911092,0.0006613301,0.1940569,0.5052498,0.04615709,0.003938859,0.1770543],"study_design_scores_gemma":[0.0009662134,0.0001361314,0.04937269,0.00008502496,0.00001433661,0.000005532498,0.00008690519,0.02690158,0.7896497,0.001938423,0.130288,0.0005555007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840455,0.0000284652,0.004869888,0.003596973,0.0001204932,0.00005953227,0.000001354878,0.0001012406,0.007176561],"genre_scores_gemma":[0.9929135,0.00005302802,0.004838506,0.001232572,0.00002322932,0.00004765845,0.000002861713,0.00001242499,0.0008762507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2843999,"threshold_uncertainty_score":0.5703447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385229893770291,"score_gpt":0.261257936924096,"score_spread":0.2474056379863931,"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."}}