{"id":"W2901543613","doi":"10.3390/en11113218","title":"Energy and Economic Analysis for Greenhouse Ground Insulation Design","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse; Energy consumption; Building envelope; Environmental science; Envelope (radar); TRNSYS; Thermal insulation; Engineering; Meteorology; Telecommunications; Thermal; Materials science; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030917,0.0007278478,0.0005201443,0.001683613,0.0004861414,0.001111366,0.0004812135,0.0005280323,0.006742441],"category_scores_gemma":[0.002188971,0.0004176122,0.001162868,0.001122512,0.0003311362,0.0008387335,0.0002946311,0.0004787826,0.0003246243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003151807,"about_ca_system_score_gemma":0.002491659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01989354,"about_ca_topic_score_gemma":0.03077645,"domain_scores_codex":[0.9995433,0.0001355777,0.000009774429,0.00002403685,0.0002094814,0.00007780694],"domain_scores_gemma":[0.9993481,0.0004184447,0.00003599337,0.00002640448,0.0001564161,0.00001464844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008909326,0.00006035404,0.001778541,0.00009679729,0.00001643085,0.00006725388,0.00001482778,0.9685585,0.001666944,0.005768164,0.0006512278,0.02123179],"study_design_scores_gemma":[0.00001350942,0.0001613902,0.003062101,0.00003309179,0.00004478567,0.00003513672,0.00009375245,0.9898268,0.001441667,0.003054904,0.002217366,0.00001550168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6647433,0.002349618,0.2129437,0.0006174419,0.00009389555,0.0007499387,0.002032322,0.0002116094,0.1162582],"genre_scores_gemma":[0.9651478,0.0006047062,0.02839341,0.00003572845,0.00001073137,0.0001866666,0.0006057318,0.00003959613,0.004975596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01989354,"threshold_uncertainty_score":0.03955549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244510423626652,"score_gpt":0.2173747138829333,"score_spread":0.1929236715202681,"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."}}