{"id":"W2790490304","doi":"10.5539/jas.v10n4p116","title":"Possibilities of Using Industrial Waste Heat for Heating Greenhouses in Northern Greece","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse; Environmental science; Heating oil; Waste management; Waste heat; Thermal pollution; Heating system; Fossil fuel; Agriculture; Greenhouse gas; Renewable heat; Industrial waste; Environmental engineering; Environmental protection; Engineering; Geography; Heat exchanger; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005799156,0.0002827003,0.0003181445,0.0004761633,0.0006072402,0.0008312205,0.0003711161,0.0004610382,0.002169564],"category_scores_gemma":[0.0002810401,0.0001373059,0.0008042813,0.0004457346,0.0004942785,0.0006117771,0.0005755666,0.0002144632,0.0004059879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005976073,"about_ca_system_score_gemma":0.0005478353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948235,"about_ca_topic_score_gemma":0.006779775,"domain_scores_codex":[0.9997419,0.00008929209,0.00001061693,0.00004682313,0.00005377316,0.00005768639],"domain_scores_gemma":[0.9998722,0.0000410396,0.00001751552,0.00002806322,0.00002293054,0.00001822296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002541798,0.00079845,0.05337683,0.002254718,0.0002858646,0.009644643,0.003908188,0.026301,0.6765133,0.007044076,0.001293091,0.2160381],"study_design_scores_gemma":[0.0004423176,0.005098884,0.151185,0.0006944207,0.0009908942,0.006611447,0.01475887,0.02296293,0.6649052,0.01076389,0.1213122,0.0002740923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789473,0.0012649,0.002528353,0.0001773229,0.0000253438,0.00005905087,0.00005502089,0.00006611082,0.01687665],"genre_scores_gemma":[0.9945791,0.0006002055,0.001881327,0.00002471947,0.000005691879,0.00001813164,0.00005840346,0.00001192821,0.002820581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002948235,"threshold_uncertainty_score":0.007257879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614798111596679,"score_gpt":0.2579363460767172,"score_spread":0.2117883649607504,"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."}}