{"id":"W2083275286","doi":"10.1061/(asce)1076-0431(2000)6:3(87)","title":"Cost-Effectiveness of Increasing Airtightness of Houses","year":2000,"lang":"en","type":"article","venue":"Journal of Architectural Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Building envelope; Energy consumption; Engineering; Energy cost; Energy performance; Life-cycle cost analysis; Global-warming potential; Architectural engineering; Environmental science; Greenhouse gas; Reliability engineering; Meteorology","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":[0.0007770424,0.0006180268,0.0002981556,0.0006756503,0.0002342544,0.0007952478,0.0006225692,0.0005368462,0.003432373],"category_scores_gemma":[0.004053171,0.0002536913,0.0004857979,0.0006034634,0.0003682572,0.0009941856,0.0004206241,0.0002343292,0.0001837162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105634,"about_ca_system_score_gemma":0.0007614949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02641986,"about_ca_topic_score_gemma":0.0391872,"domain_scores_codex":[0.9992025,0.0003455261,0.00002245624,0.00005657939,0.0002277574,0.0001451548],"domain_scores_gemma":[0.9978983,0.001173101,0.0003702839,0.0001782378,0.0002609433,0.0001190208],"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":[0.0008010216,0.0001730851,0.03381666,0.0002075903,0.0001627903,0.0003042129,0.00005429458,0.8852397,0.01289282,0.002870929,0.0006164287,0.06286047],"study_design_scores_gemma":[0.0001775902,0.002975621,0.1976723,0.00006143316,0.0005976559,0.0006302946,0.0003846958,0.7370701,0.05133451,0.002608321,0.006355565,0.0001318434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835074,0.0007306484,0.007045604,0.0001479788,0.00001592876,0.00004580648,0.0002807044,0.0001041648,0.00812184],"genre_scores_gemma":[0.9985543,0.0001013442,0.0009047204,0.000007422333,0.000003014998,0.000004384267,0.00005150052,0.000006063405,0.0003673146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02641986,"threshold_uncertainty_score":0.0525322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015740761958522,"score_gpt":0.2135688160532016,"score_spread":0.2034114084336164,"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."}}