{"id":"W2024780270","doi":"10.1061/(asce)ey.1943-7897.0000140","title":"Technoeconomic Assessment of the Impact of Window Improvements on the Heating and Cooling Energy Requirement and Greenhouse Gas Emissions of the Canadian Housing Stock","year":2013,"lang":"en","type":"article","venue":"Journal of Energy Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Environmental science; Energy consumption; Stock (firearms); Primary energy; Efficient energy use; Heating degree day; Energy performance; Natural resource economics; Environmental engineering; Renewable energy; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004472528,0.0006116544,0.0003739677,0.0003874816,0.0006275717,0.0006268581,0.0008383404,0.000266328,0.001379569],"category_scores_gemma":[0.001056172,0.0002490608,0.0006260689,0.0006154587,0.0002965242,0.0003462549,0.0002716491,0.000306016,0.00006404705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008679034,"about_ca_system_score_gemma":0.005316806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8305418,"about_ca_topic_score_gemma":0.882663,"domain_scores_codex":[0.9997137,0.00003602306,0.000006366859,0.00002800547,0.0001391546,0.00007673458],"domain_scores_gemma":[0.9996599,0.0001182775,0.00002343414,0.00002639393,0.0001486101,0.00002336686],"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":[0.0004716645,0.00010648,0.01654831,0.00006936375,0.00007114877,0.0001038343,0.00003806029,0.9561379,0.01235325,0.0008584158,0.0003405992,0.01290108],"study_design_scores_gemma":[0.0001081956,0.0007301218,0.1202529,0.00001608824,0.0002376642,0.00003335543,0.0003127719,0.8515294,0.02433786,0.0004792902,0.001889394,0.00007303666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943065,0.00009406795,0.001419291,0.00004154494,0.00000533484,0.00003784236,0.0006467061,0.00002709591,0.003421664],"genre_scores_gemma":[0.9978663,0.00008291865,0.001251293,0.000005660995,7.100895e-7,0.00001119412,0.0002808418,0.000006382419,0.0004947714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694582,"threshold_uncertainty_score":0.3409122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007600217619113754,"score_gpt":0.207599204291701,"score_spread":0.1999989866725872,"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."}}