{"id":"W4392371694","doi":"10.1111/jiec.13461","title":"Embodied GHG of missing middle: Residential building form and strategies for more efficient housing","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Architecture and Computational Design","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Zoologische Gesellschaft Frankfurt; Cement Association of Canada","keywords":"Embodied cognition; Industrial ecology; Greenhouse gas; Business; Natural resource economics; Architectural engineering; Environmental resource management; Environmental science; Sustainability; Economics; Computer science; Ecology; 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":[0.0003239276,0.00008934672,0.0002396449,0.0002373178,0.00005187932,0.00005648481,0.0000716553,0.0001285875,0.000007894359],"category_scores_gemma":[0.00007423681,0.00007739713,0.00008069096,0.0001018928,0.00004768395,0.00008805597,0.00001620853,0.0002488944,1.836963e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005521554,"about_ca_system_score_gemma":0.0002101964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000299955,"about_ca_topic_score_gemma":0.000004730217,"domain_scores_codex":[0.9992431,0.00002292357,0.0004088717,0.0000710775,0.0001083861,0.0001455754],"domain_scores_gemma":[0.9993529,0.0004036879,0.0000972171,0.00003319385,0.00006746757,0.00004557648],"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":[0.0003065906,0.00002651251,0.00008026381,0.0002559296,0.0003481664,0.0001253505,0.001621907,0.8966681,0.01469389,0.006453126,0.002089288,0.07733088],"study_design_scores_gemma":[0.00578731,0.002177632,0.001694562,0.001924274,0.0007050391,0.001507761,0.002761049,0.8312648,0.02472699,0.1233597,0.003374973,0.0007159087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669608,0.0006949357,0.1303549,0.0002840504,0.001386703,0.0001191043,0.000005312415,0.00002383185,0.000170394],"genre_scores_gemma":[0.9941989,0.000007880839,0.004988975,0.00001335265,0.0007696525,0.000001515191,7.510818e-7,0.00001570619,0.000003297034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1272381,"threshold_uncertainty_score":0.3156164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625437692390199,"score_gpt":0.27228819580895,"score_spread":0.236033818885048,"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."}}