{"id":"W4412442232","doi":"10.1016/j.applthermaleng.2025.127536","title":"A synchronized multi-staged thermal energy storage system for sustainable hydroponic greenhouses","year":2025,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Qatar National Research Fund; Hamad Bin Khalifa University; Qatar Foundation","keywords":"Greenhouse; Thermal energy storage; Environmental science; Thermal; Waste management; Process engineering; Sustainable energy; Energy (signal processing); Engineering; Architectural engineering; Renewable energy; Meteorology; Electrical engineering; Horticulture; Geography; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002068744,0.000251992,0.0003166604,0.00004262376,0.0002910529,0.00005114046,0.0003872468,0.0002280686,0.00003345153],"category_scores_gemma":[0.00002341969,0.0001229934,0.0001236736,0.0003046937,0.00003861447,0.00007762948,0.0001113936,0.0001605504,0.000009501169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177935,"about_ca_system_score_gemma":0.00001538164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001377071,"about_ca_topic_score_gemma":0.00007602714,"domain_scores_codex":[0.9986877,0.00001869724,0.0002406611,0.000337793,0.0000896554,0.0006254927],"domain_scores_gemma":[0.9995086,0.0001967952,0.00006420135,0.0001250455,0.00004939487,0.000056022],"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":[0.0001232482,0.00006175229,0.00006727543,0.0001344947,0.0001050929,0.00001878766,0.00002864966,0.003800835,0.9098946,0.0751664,0.00002637169,0.01057242],"study_design_scores_gemma":[0.01697736,0.0009727813,0.04007673,0.000599039,0.0007664548,0.00003456925,0.008869017,0.2902414,0.5557729,0.0006391159,0.08060127,0.004449398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911805,0.0005325488,0.004981678,0.000129918,0.0001061988,0.0005692164,0.00001324904,0.001299248,0.001187486],"genre_scores_gemma":[0.9984919,0.00000687595,0.0001631338,0.00008485317,0.00009078677,0.0004887242,0.00001893632,0.000006567499,0.0006481643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3541218,"threshold_uncertainty_score":0.5015527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006345985054608747,"score_gpt":0.1843470570289503,"score_spread":0.1780010719743415,"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."}}