{"id":"W2068615949","doi":"10.1081/ge-120027882","title":"Energy Considerations in Design for Environment: Appropriate Energy Selection and Energy Efficiency","year":2004,"lang":"en","type":"article","venue":"International Journal of Green Energy","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Efficient energy use; Energy engineering; Work (physics); Energy (signal processing); Energy accounting; Environmental economics; Energy conservation; Energy consumption; Energy transformation; Selection (genetic algorithm); Engineering; Systems engineering; Computer science; Mechanical engineering; Economics","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":[0.0002036403,0.0001802804,0.0002105397,0.000492263,0.0000611022,0.00007525476,0.0001724429,0.00009262955,0.00002259487],"category_scores_gemma":[0.00002326966,0.0001800951,0.00008246501,0.0001086219,0.00003421062,0.0002572014,0.00002834089,0.00008187265,2.266093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600778,"about_ca_system_score_gemma":0.0001349848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009941885,"about_ca_topic_score_gemma":0.0002426261,"domain_scores_codex":[0.998731,0.0000504666,0.0004956459,0.0001644551,0.0003254443,0.0002330386],"domain_scores_gemma":[0.9993774,0.000146217,0.0001544636,0.00007045755,0.0001591858,0.00009226037],"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":[0.0000597508,0.0001142966,0.00003057305,0.00000588245,0.0001630421,0.00007449351,0.00009227986,0.7950737,0.008782702,0.1611378,0.0002552403,0.03421018],"study_design_scores_gemma":[0.007637213,0.0009367566,0.0002560636,0.0002280329,0.000103597,0.001213565,0.0002248874,0.4121027,0.1158769,0.3504419,0.1100249,0.000953519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003849598,0.0007944485,0.9941066,0.0004410638,0.0005046368,0.00002223627,0.000004155527,0.00002896173,0.0002482952],"genre_scores_gemma":[0.9883325,0.001028612,0.009642005,0.0002448955,0.0003668708,0.00003150248,0.000007345042,0.00003423946,0.0003120958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9844828,"threshold_uncertainty_score":0.7344066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094063213728762,"score_gpt":0.220561220502607,"score_spread":0.2096205883653194,"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."}}