{"id":"W2589390005","doi":"10.17660/actahortic.2011.893.42","title":"THE APPLICATION OF AQUIFER THERMAL ENERGY STORAGE IN THE CANADIAN GREENHOUSE INDUSTRY","year":2011,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Industry Canada","keywords":"Greenhouse; Aquifer; Environmental science; Thermal energy storage; Thermal; Thermal energy; Environmental engineering; Groundwater; Geology; Meteorology; Geotechnical engineering; Geography; Thermodynamics; Physics; Horticulture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003639139,0.0001706476,0.0001025753,0.0004858074,0.002798645,0.001037976,0.000651591,0.0003542945,0.003527821],"category_scores_gemma":[0.0005682879,0.00007778776,0.0002283908,0.00121582,0.0007496079,0.0006144011,0.0004699487,0.0003002154,0.0001191989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01669647,"about_ca_system_score_gemma":0.02169596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9234362,"about_ca_topic_score_gemma":0.9710202,"domain_scores_codex":[0.9997347,0.00002309157,0.000005513563,0.00003589601,0.0001103136,0.00009043752],"domain_scores_gemma":[0.9996897,0.00004206986,0.00001526273,0.00001779014,0.0002022736,0.00003302183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001060049,0.0002594286,0.09638159,0.0006149609,0.00007246718,0.001619971,0.003333734,0.05408197,0.125235,0.05929234,0.01598846,0.6420599],"study_design_scores_gemma":[0.0001064481,0.0006234982,0.3943057,0.0003381964,0.0002279333,0.0008898065,0.02060202,0.07601752,0.1464351,0.01600774,0.3442179,0.0002280986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957186,0.00331859,0.005538662,0.004921167,0.00006907015,0.00009047431,0.0005165093,0.000155701,0.0896712],"genre_scores_gemma":[0.9910154,0.001364094,0.001495299,0.00005910989,0.000004385338,0.000006898645,0.00006164219,0.000008875607,0.005984437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07656378,"threshold_uncertainty_score":0.1540293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934341112702748,"score_gpt":0.1984032165666682,"score_spread":0.1790598054396407,"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."}}