{"id":"W3040071492","doi":"10.1080/14733315.2020.1777009","title":"Performance of an advanced heat recovery ventilation system in the Canadian Arctic","year":2020,"lang":"en","type":"article","venue":"International Journal of Ventilation","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Environmental science; Ventilation (architecture); Energy recovery ventilation; Peak demand; Heat recovery ventilation; Electricity; Arctic; Meteorology; Engineering; Automotive engineering; Air conditioning; HVAC; Mechanical engineering; Electrical engineering; Heat exchanger","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003858024,0.00005347204,0.00008374474,0.00009237932,0.00003734155,0.00003407605,0.0002465179,0.00003178734,0.0001123001],"category_scores_gemma":[0.00004681936,0.00004546635,0.0000452005,0.0001275801,0.00003027794,0.0007427321,0.00001557422,0.00007865528,0.00001994626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004814309,"about_ca_system_score_gemma":0.00004110942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816395,"about_ca_topic_score_gemma":0.01004322,"domain_scores_codex":[0.9989614,0.0000591868,0.0003797541,0.00007616873,0.0004502562,0.00007319028],"domain_scores_gemma":[0.9995507,0.0000157237,0.0002545249,0.00006032284,0.0000694495,0.00004926926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001033357,0.00006479523,0.7893836,0.00003872974,0.00003439263,0.00003447265,0.001457109,0.1489495,0.04142509,0.0001638765,0.00004500997,0.01737014],"study_design_scores_gemma":[0.0003631779,0.000206858,0.9768641,0.00009286152,0.0000126186,0.0001282844,0.0001712887,0.01499732,0.006478924,0.00004599074,0.0005841168,0.00005447218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983507,0.000007049475,0.000114389,0.0003105472,0.0008261232,0.00008576422,0.000004033029,0.000003329697,0.0002980509],"genre_scores_gemma":[0.999262,0.000005117993,0.0005017076,0.00007095766,0.000140922,0.000001562646,0.00001123261,0.000004758765,0.000001695034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1874805,"threshold_uncertainty_score":0.5769273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009989004821176211,"score_gpt":0.22279021155004,"score_spread":0.2128012067288638,"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."}}