{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664726,0.00016297,0.0001321756,0.0003971213,0.00014823,0.00001895477,0.0003320606,0.0001301806,0.00008012678],"category_scores_gemma":[0.000007322271,0.0001639185,0.00001728381,0.0004293735,0.0009045053,0.0001509034,0.0002111792,0.0001567421,0.00001162855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439616,"about_ca_system_score_gemma":0.0000154468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007840317,"about_ca_topic_score_gemma":0.000002141476,"domain_scores_codex":[0.9988008,0.000007473024,0.0001755167,0.0003434611,0.000197049,0.0004757233],"domain_scores_gemma":[0.9996108,0.00000708821,0.00003397887,0.0002584826,0.0000029756,0.00008672199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000062708,0.00007894223,0.006046281,0.00001047697,0.00002485766,0.0001102713,0.000403906,0.0002404363,0.9430979,0.01609702,0.00002435593,0.03385932],"study_design_scores_gemma":[0.0005278176,0.000272663,0.01092682,0.00002299118,0.00002794053,0.0001721893,0.002455915,0.01020085,0.9654236,0.006160799,0.003237932,0.0005704531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907427,0.0004757039,0.000525635,0.00005856503,0.0001571656,0.0001004661,0.000001798354,0.0004212875,0.007516641],"genre_scores_gemma":[0.9986584,0.0002314688,0.0006679836,0.0000286632,0.000007262249,0.00002792733,9.538712e-7,0.00002021687,0.0003571245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03328887,"threshold_uncertainty_score":0.6684404,"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."}}