{"id":"W2053054831","doi":"10.1080/10789669.2014.969171","title":"Contaminant transport in membrane based energy recovery ventilators","year":2015,"lang":"en","type":"article","venue":"Science and Technology for the Built Environment","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"dPoint Technologies (Canada)","funders":"","keywords":"Environmental science; Indoor air quality; Water vapor; Energy recovery ventilation; Ventilation (architecture); Waste management; Heat recovery ventilation; Volatile organic compound; Environmental engineering; Moisture; Energy recovery; Carbon dioxide; Heat exchanger; Materials science; Chemistry; Engineering; Energy (signal processing); Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002824409,0.0002369812,0.000350969,0.0002752101,0.0004131111,0.000591632,0.0006228874,0.000662675,0.001192155],"category_scores_gemma":[0.0005946748,0.0001642493,0.0005082205,0.0003375891,0.0002465693,0.0007215594,0.0004006806,0.0003250253,0.000333425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009327702,"about_ca_system_score_gemma":0.0003960204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005730817,"about_ca_topic_score_gemma":0.001928853,"domain_scores_codex":[0.9996337,0.00005740959,0.00002669066,0.00007645817,0.0001364497,0.00006929775],"domain_scores_gemma":[0.9997645,0.00007375048,0.00004667844,0.00001891769,0.00008530357,0.0000108357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004134896,0.0002738,0.01072073,0.0002741792,0.0000494689,0.0003292906,0.0001395899,0.09153464,0.8760011,0.001459772,0.0004183894,0.01838554],"study_design_scores_gemma":[0.00006540479,0.001094436,0.01244709,0.00003174648,0.00004549082,0.0002068605,0.0001811684,0.3491389,0.6328294,0.0003051113,0.003607789,0.00004668639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918689,0.0003437845,0.006099422,0.00006597101,0.00001774204,0.00003405467,0.0002149177,0.0001539375,0.001201268],"genre_scores_gemma":[0.9959162,0.0002958559,0.002248284,0.00002325647,0.000001703833,0.00002286924,0.0001712274,0.00001426491,0.001306321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005730817,"threshold_uncertainty_score":0.01139492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269745175667349,"score_gpt":0.2057793330114565,"score_spread":0.193081881254783,"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."}}