{"id":"W4415964594","doi":"10.32920/29873708.v1","title":"Whole-life Carbon Analysis of Residential Buildings Retrofit Projects in Ontario","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electricity; Context (archaeology); Greenhouse gas; Life-cycle assessment; Efficient energy use; Energy consumption; Carbon fibers","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":[0.0002011769,0.0002351834,0.0001941239,0.0006802674,0.0007128032,0.0004796864,0.0003662074,0.0002342575,0.001049751],"category_scores_gemma":[0.0003828932,0.000149228,0.0002922748,0.001251403,0.0003917858,0.0002742169,0.0002356163,0.0001413336,0.00009072822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01094524,"about_ca_system_score_gemma":0.002523527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.829608,"about_ca_topic_score_gemma":0.9262794,"domain_scores_codex":[0.9997768,0.00002270623,0.000006811836,0.00002153583,0.0001225873,0.00004959307],"domain_scores_gemma":[0.999768,0.00003225946,0.00003074291,0.00001336309,0.0001353912,0.00002027907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008598841,0.0002971697,0.5488869,0.0003296463,0.000169365,0.001856787,0.002710768,0.3276234,0.03473569,0.003089522,0.001980619,0.0774601],"study_design_scores_gemma":[0.00001817795,0.0002435906,0.8895177,0.00001972276,0.0000602125,0.0001263334,0.003100546,0.09116274,0.009852745,0.0003350396,0.005514103,0.00004901179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975835,0.00003040842,0.0002014785,0.00001297267,4.72892e-7,0.00001619101,0.0004351331,0.000008310186,0.001711547],"genre_scores_gemma":[0.9978392,0.00005852264,0.000269386,0.000003720956,3.057179e-7,0.00001041393,0.0004644732,0.000005076794,0.001348974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.170392,"threshold_uncertainty_score":0.3427908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105909550501316,"score_gpt":0.2483267576866716,"score_spread":0.23773580263654,"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."}}