{"id":"W4384929977","doi":"10.3390/en16145493","title":"A Systematic Heat Recovery Approach for Designing Integrated Heating, Cooling, and Ventilation Systems for Greenhouses","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pinch analysis; Heat exchanger; Heat recovery ventilation; Greenhouse; Process engineering; Ventilation (architecture); Environmental science; Heat pump; Process integration; Thermal energy storage; Energy recovery; Passive cooling; Hybrid heat; Engineering; Waste heat; Mechanical engineering; Energy (signal processing); Heat transfer; Mathematics; Thermodynamics","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":[0.0004564531,0.0001277757,0.0002895167,0.00003401267,0.0003144573,0.00008774056,0.000111632,0.0001346694,0.000001979916],"category_scores_gemma":[0.0002206548,0.000053017,0.00007631923,0.0002262823,0.00003750464,0.00009190354,0.00002669223,0.0000471452,0.000002410888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590959,"about_ca_system_score_gemma":0.000004759193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001472814,"about_ca_topic_score_gemma":0.00009559557,"domain_scores_codex":[0.9991454,0.0000526076,0.0002532978,0.000233967,0.00007222859,0.0002425298],"domain_scores_gemma":[0.9991711,0.0005981695,0.00008370513,0.00004898292,0.00006994417,0.0000281141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002219366,0.000406489,0.01256055,0.03905171,0.00123581,0.00001562017,0.001682709,0.118624,0.7613011,0.02786162,0.01295713,0.02208393],"study_design_scores_gemma":[0.003112407,0.003701055,0.01636883,0.007473745,0.0007756092,0.0001027831,0.03628578,0.8992392,0.02404456,0.003802709,0.003079961,0.002013345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925274,0.001726684,0.003633626,0.00006540177,0.0001385474,0.001134621,0.00005426403,0.000692631,0.00002676942],"genre_scores_gemma":[0.9977149,0.0001383898,0.0004665851,0.00002463979,0.00008536391,0.001053932,0.0001766814,0.000003227106,0.0003362666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7806152,"threshold_uncertainty_score":0.2418583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743871054566015,"score_gpt":0.2269374642426079,"score_spread":0.1994987536969478,"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."}}