{"id":"W2322576112","doi":"10.1021/es1041332","title":"LEED, Energy Savings, and Carbon Abatement: Related but Not Synonymous","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Carbon fibers; Energy (signal processing); Environmental science; Waste management; Chemistry; Materials science; Engineering; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001946891,0.0005732928,0.000871496,0.00296983,0.001329923,0.006487726,0.0008939872,0.004645791,0.00876972],"category_scores_gemma":[0.005928956,0.0002684557,0.0004331073,0.006575686,0.01517594,0.009014212,0.003070367,0.004514706,0.001027467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003197426,"about_ca_system_score_gemma":0.00121369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576387,"about_ca_topic_score_gemma":0.003766287,"domain_scores_codex":[0.9971853,0.001207008,0.0001976759,0.0004144113,0.0007771542,0.0002183497],"domain_scores_gemma":[0.9951042,0.003310592,0.000620725,0.0001991399,0.0005548556,0.0002104502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007103127,0.00006604918,0.001768622,0.0007487576,0.00003239564,0.0001522036,0.0006746204,0.0007101186,0.0002477615,0.9055499,0.01117895,0.07879953],"study_design_scores_gemma":[0.00001957288,0.00008552027,0.005972156,0.001585499,0.00003837414,0.0008348998,0.003198046,0.001162209,0.0004574129,0.7576916,0.2288771,0.00007753164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02447183,0.6547109,0.01737108,0.09497604,0.006286572,0.00005011069,0.0003042802,0.0000827902,0.2017465],"genre_scores_gemma":[0.5917655,0.3400521,0.009665023,0.02560626,0.00770945,0.0001378115,0.0002144701,0.000111917,0.02473749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00876972,"threshold_uncertainty_score":0.02933764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005604637195471402,"score_gpt":0.1751764187803629,"score_spread":0.1695717815848915,"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."}}