{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005908889,0.002041727,0.001109007,0.004209537,0.0006792283,0.002118239,0.001975732,0.00122298,0.002443877],"category_scores_gemma":[0.004120161,0.0007063295,0.002436631,0.002435634,0.00090386,0.001985756,0.00187009,0.001541939,0.0004250013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002965027,"about_ca_system_score_gemma":0.004886335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409846,"about_ca_topic_score_gemma":0.01307526,"domain_scores_codex":[0.9964631,0.00144676,0.0001802239,0.0003178128,0.001415465,0.0001766243],"domain_scores_gemma":[0.9982415,0.0006342116,0.0002438061,0.00009232804,0.0007215196,0.00006654504],"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":[0.00003228978,0.0001511373,0.001703294,0.0006156596,0.0000975998,0.00009650856,0.0001968286,0.825658,0.002066126,0.03085239,0.001166045,0.1373642],"study_design_scores_gemma":[0.00001546065,0.0001593611,0.0009013201,0.0002134935,0.00008706222,0.00005952424,0.000125471,0.9711273,0.001075936,0.01627986,0.00992022,0.00003500825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005140208,0.001567775,0.9873619,0.000250905,0.00002847357,0.0003310474,0.0001333101,0.0002176215,0.004968651],"genre_scores_gemma":[0.1820168,0.0024482,0.8118874,0.0001036332,0.00006549961,0.001071449,0.0005655194,0.00007321596,0.001768222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01409846,"threshold_uncertainty_score":0.03124958,"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."}}