{"id":"W3197187039","doi":"10.1016/j.resconrec.2021.105885","title":"Capturing variability in material intensity of single-family dwellings: A case study of Toronto, Canada","year":2021,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Toronto; Ontario Centres of Excellence; BASF","keywords":"Geography; Single family; Architectural engineering; Engineering; Civil 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":[0.0006537707,0.0004410004,0.0005150479,0.001646913,0.004101957,0.00216439,0.001925397,0.000668059,0.001956538],"category_scores_gemma":[0.002656979,0.0003571291,0.0005296592,0.005543907,0.001121315,0.0005496101,0.001050841,0.0005448833,0.0002489207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03244597,"about_ca_system_score_gemma":0.02123408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963871,"about_ca_topic_score_gemma":0.9990797,"domain_scores_codex":[0.9992235,0.0001029674,0.00003054952,0.0001452858,0.0002255283,0.0002722937],"domain_scores_gemma":[0.9981432,0.0003954224,0.0001549621,0.00008782251,0.0009549099,0.0002637059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004570404,0.0003538995,0.8778563,0.000304785,0.0003822634,0.002743421,0.040584,0.008803998,0.00467621,0.001556816,0.00581653,0.05646483],"study_design_scores_gemma":[0.0000120827,0.00005995415,0.9386261,0.0001015452,0.00006760294,0.0001626124,0.0475051,0.007657003,0.0006161834,0.0001475638,0.004993567,0.00005082011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955078,0.0002083076,0.0006662772,0.0001211992,0.000005128739,0.00006035958,0.001303582,0.00001632827,0.002110976],"genre_scores_gemma":[0.9956573,0.0002106012,0.001363087,0.00004818165,0.000002750073,0.00003339773,0.0008282952,0.00001634088,0.001840057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244597,"threshold_uncertainty_score":0.2354131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598912276567333,"score_gpt":0.2170567495475932,"score_spread":0.2010676267819198,"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."}}