{"id":"W4396681626","doi":"10.1051/e3sconf/202452101006","title":"Performance Assessment of a Thermoelectric Heat Pump Heat Recovery Ventilator","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Queen's University","funders":"Natural Resources Canada; Queen's University","keywords":"Heat pump; Nuclear engineering; Thermoelectric effect; Materials science; Heat recovery ventilation; Coefficient of performance; Thermoelectric cooling; Environmental science; Thermodynamics; Mechanical engineering; Heat exchanger; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004777049,0.0001815496,0.0004856393,0.0002507623,0.00005379118,0.00008922358,0.0003153638,0.00007303931,0.002903783],"category_scores_gemma":[0.00001571532,0.0001361426,0.0001252968,0.0006171031,0.0001116556,0.0002909957,0.00005271278,0.00008252091,0.00002649491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002937223,"about_ca_system_score_gemma":0.0009394275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001136641,"about_ca_topic_score_gemma":0.00001583326,"domain_scores_codex":[0.9984455,0.00007673717,0.0004990693,0.0003256765,0.0003697893,0.0002832749],"domain_scores_gemma":[0.999325,0.0001650932,0.0001003318,0.0002532844,0.0001027201,0.00005353639],"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":[0.00007206164,0.00006056187,0.002175797,0.0003993354,0.0001025805,0.000003553474,0.00007425045,0.000362901,0.9857535,0.006845608,0.00004770085,0.00410214],"study_design_scores_gemma":[0.0001950549,0.0007980943,0.01138665,0.0002684052,0.0001609109,0.000006220324,0.00004239602,0.02635039,0.9564953,0.001212153,0.002830053,0.0002543721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774807,0.001408577,0.0006800375,0.00005650492,0.0007753689,0.0001865976,0.00004325073,0.00008356738,0.01928538],"genre_scores_gemma":[0.9986845,0.0006446526,0.0003179713,0.00002345704,0.00008257289,0.00002470204,0.000007667248,0.00001283137,0.0002016485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02925821,"threshold_uncertainty_score":0.9980077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146675354961664,"score_gpt":0.2758771248571616,"score_spread":0.2612095893609953,"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."}}