{"id":"W319052871","doi":"","title":"Tackling Climate Change in the U.S.: The Potential for Greenhouse Gas Reductions in the Buildings Sector","year":2007,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Climate change; Quarter (Canadian coin); Natural resource economics; Environmental science; Global warming; Climate change mitigation; Greenhouse; Greenhouse effect; Agricultural economics; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004456152,0.0004207392,0.0001675615,0.0005746588,0.001062778,0.001906132,0.0002853141,0.0013301,0.005447753],"category_scores_gemma":[0.0008047474,0.00009335642,0.0002218371,0.001078984,0.0005016623,0.001546305,0.0007883666,0.0009015838,0.0009412326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692294,"about_ca_system_score_gemma":0.004328338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01827358,"about_ca_topic_score_gemma":0.05988501,"domain_scores_codex":[0.9996508,0.0001305212,0.000009725916,0.00002647586,0.000126771,0.00005559014],"domain_scores_gemma":[0.999683,0.00008189436,0.00004722798,0.000008941272,0.0001236194,0.00005537372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002965231,0.0002562139,0.02024605,0.001200451,0.00006768209,0.0003416871,0.0005794185,0.01144168,0.007524576,0.07531876,0.1939962,0.6887308],"study_design_scores_gemma":[0.00005239783,0.0007477883,0.040943,0.001827624,0.0001779135,0.0005026083,0.005972094,0.01617667,0.01066738,0.08606645,0.8367645,0.0001015335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1489072,0.1623764,0.01457097,0.2456914,0.004678877,0.0001491074,0.002017812,0.0004715105,0.4211367],"genre_scores_gemma":[0.8556742,0.1016986,0.01405094,0.009574955,0.001197105,0.00009324135,0.001107335,0.00005150529,0.01655212],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01827358,"threshold_uncertainty_score":0.03633446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419696473515946,"score_gpt":0.2452443862820293,"score_spread":0.2310474215468698,"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."}}