{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053085,0.00007958036,0.0001326362,0.00002730123,0.0002015412,0.00003465258,0.00009625532,0.00009230067,0.0000929298],"category_scores_gemma":[0.00001000817,0.00003332343,0.00005559657,0.0001349323,0.0001043831,0.0000903734,0.00002893457,0.00001628934,0.000005418938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114392,"about_ca_system_score_gemma":0.000002575466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005131592,"about_ca_topic_score_gemma":0.007846686,"domain_scores_codex":[0.9995092,0.00002513331,0.0001064205,0.0001870144,0.00002975803,0.0001424302],"domain_scores_gemma":[0.9997004,0.0001547344,0.00005000089,0.00004419604,0.00002512236,0.00002560756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006374667,0.0001403445,0.102808,0.00000965156,0.001370538,0.000003636507,0.0003517911,0.002713571,0.3508816,0.1279026,0.002493324,0.4106875],"study_design_scores_gemma":[0.0008503228,0.001320864,0.8343605,0.000007428193,0.0005963712,0.000006548114,0.0004814703,0.03840058,0.03149531,0.03393859,0.05785481,0.0006872169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975388,0.0001513482,0.001477556,0.0004763444,0.00006224818,0.00005364909,0.00001362905,0.0001338165,0.00009262006],"genre_scores_gemma":[0.9989542,0.00007151011,0.0003470799,0.0001110172,0.000164426,0.00003116326,0.00001973116,8.038303e-7,0.0003000349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7315525,"threshold_uncertainty_score":0.4378635,"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."}}