{"id":"W4394818113","doi":"10.3390/en17081858","title":"A Water-to-Water Heat Pump Model with Experimental Validation","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Condenser (optics); Evaporator; Thermal expansion valve; Gas compressor; Superheating; Heat pump; Test bench; Refrigerant; Mechanics; Engineering; Mechanical engineering; Nuclear engineering; Thermodynamics; Heat exchanger; 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":[],"consensus_categories":[],"category_scores_codex":[0.0000249537,0.00009401837,0.0000622761,0.0001086284,0.00005088747,0.0001641455,0.00006045174,0.00003686703,0.00007790957],"category_scores_gemma":[8.901667e-7,0.00005426805,0.00001917525,0.00004916951,0.00001768945,0.0002044281,0.00002430515,0.00005336235,0.0001689847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731283,"about_ca_system_score_gemma":0.000003576931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003370599,"about_ca_topic_score_gemma":0.000001266061,"domain_scores_codex":[0.9995822,0.000003484965,0.00007572322,0.0001152843,0.00008172245,0.0001415869],"domain_scores_gemma":[0.999855,0.000003593471,0.000001035797,0.0001116315,0.000008641979,0.0000201442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001345672,0.00000251596,0.00000113632,0.000008177965,0.0000100427,0.000003745754,0.0006427617,0.6598327,0.337442,0.001117245,0.0008434647,0.00009485412],"study_design_scores_gemma":[0.00004154126,0.00002319947,0.000001649881,0.00002147437,0.000002731784,0.000003937635,0.0001379053,0.1479528,0.847793,0.000345537,0.003579063,0.00009716621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851189,0.0001092832,0.009966011,0.0005076903,0.0001606874,0.00005520265,0.000002876968,0.002155427,0.001923907],"genre_scores_gemma":[0.9970135,0.00000796826,0.001632938,0.00003133891,0.0000353055,0.00007976309,0.00004277237,0.00002377347,0.001132604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5118799,"threshold_uncertainty_score":0.2212987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009709693764557482,"score_gpt":0.2175718104313935,"score_spread":0.207862116666836,"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."}}