{"id":"W3111949393","doi":"10.14288/1.0394833","title":"Whole building life cycle assessment for residential buildings : a design improvement framework","year":2020,"lang":"en","type":"article","venue":"Open Collections","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Architectural engineering; Building design; Environmental science; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006213545,0.0002192067,0.00033344,0.0001524015,0.003306369,0.006662567,0.0007342524,0.00009105967,0.0006457735],"category_scores_gemma":[0.001655072,0.0002370763,0.0001781001,0.002328036,0.00002979568,0.001141796,0.0006902291,0.0002322864,0.00004550788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256461,"about_ca_system_score_gemma":0.000180815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004515204,"about_ca_topic_score_gemma":0.0001542089,"domain_scores_codex":[0.9982449,0.00002443159,0.0004364869,0.0005912342,0.0003046701,0.0003982619],"domain_scores_gemma":[0.9987758,0.000258462,0.0003134871,0.0002924451,0.0002910165,0.00006874747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001748737,0.0001980589,0.0002545769,0.0001171888,0.0003793816,0.000004436284,0.00008738208,0.02502445,0.004341566,0.003595088,0.9632874,0.002535653],"study_design_scores_gemma":[0.002918631,0.0002208454,0.0003635135,0.000206645,0.001079544,0.000001196383,0.00122642,0.4872141,0.0009840208,0.04338396,0.4613179,0.001083232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00259973,0.00002119842,0.9562775,0.01558376,0.0005581066,0.002079466,0.00001790244,0.0002818074,0.0225805],"genre_scores_gemma":[0.5418935,0.00001037101,0.4074014,0.02362593,0.007221801,0.002465775,0.00006021949,0.0002109851,0.01710995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5488761,"threshold_uncertainty_score":0.9979912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968247135318766,"score_gpt":0.2991490318437182,"score_spread":0.2594665604905306,"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."}}