{"id":"W4319654273","doi":"","title":"Online Calculator to Evaluate the Impact of Airtightness on Residential Building Energy Consumption and Moisture Transfer","year":2023,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Calculator; Energy consumption; Architectural engineering; Computer science; Transfer (computing); Moisture; Consumption (sociology); Environmental science; Engineering; Meteorology; Electrical engineering; Operating system","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":[0.0009740021,0.0009797898,0.0004595522,0.003110654,0.0002521043,0.0008269614,0.0007420908,0.0004214983,0.008303833],"category_scores_gemma":[0.00649485,0.0002875452,0.0006575045,0.002787026,0.0001812303,0.0006937043,0.0006537368,0.000417102,0.002341139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006773323,"about_ca_system_score_gemma":0.0007145345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111234,"about_ca_topic_score_gemma":0.01397722,"domain_scores_codex":[0.9991887,0.0001354176,0.00007209573,0.0001582641,0.000399728,0.00004581993],"domain_scores_gemma":[0.9959073,0.001723813,0.000615674,0.0003371486,0.001303583,0.0001124359],"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":[0.00120473,0.002039193,0.3695022,0.001391926,0.0005322725,0.0004258297,0.0006331166,0.1529918,0.01045824,0.005033458,0.05486398,0.4009232],"study_design_scores_gemma":[0.000299326,0.001222826,0.3920638,0.0001815154,0.0002380039,0.0002956687,0.0008992923,0.5169783,0.03072624,0.002669033,0.05422263,0.0002034005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.7849412,0.0004300829,0.08307942,0.0002056035,0.0001371124,0.002090382,0.06142552,0.02721824,0.04047247],"genre_scores_gemma":[0.8639443,0.0002587201,0.09349218,0.0001114242,0.00002240113,0.001567829,0.03256964,0.0009021653,0.007131208],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01111234,"threshold_uncertainty_score":0.02777904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551286461711465,"score_gpt":0.2648250357858691,"score_spread":0.2493121711687545,"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."}}