{"id":"W6903832253","doi":"10.13140/rg.2.2.19793.65123","title":"Deep Energy Retrofit Improving Energy Efficiency & GHG Reduction In Single Detached Residential Unit in Ontario","year":2022,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Reduction (mathematics); Unit (ring theory); Greenhouse gas; Energy consumption; Energy conservation","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":[0.0001836418,0.0001996975,0.0002884488,0.0002923072,0.002993445,0.0007192224,0.0008652643,0.0003119671,0.002922302],"category_scores_gemma":[0.0008060149,0.0003679005,0.0004290786,0.001223673,0.000624359,0.0002590105,0.0008662018,0.000470242,0.0001996126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02732472,"about_ca_system_score_gemma":0.0297903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888675,"about_ca_topic_score_gemma":0.9979209,"domain_scores_codex":[0.9995384,0.0000483299,0.00001560192,0.00005398968,0.0001096374,0.000234108],"domain_scores_gemma":[0.9993554,0.00004440291,0.0001158264,0.00001566344,0.0002219466,0.0002468161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004022094,0.0002564035,0.9351651,0.0002415138,0.0000739067,0.001462869,0.01115257,0.00164294,0.002875217,0.001310089,0.005950314,0.03946684],"study_design_scores_gemma":[0.00001665335,0.00009908938,0.9826345,0.00006189221,0.00002366024,0.0001241283,0.01207509,0.0007202742,0.0002029724,0.00008702304,0.003942895,0.00001183358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943603,0.0001565784,0.0001918323,0.00053863,0.000007723045,0.00003740879,0.0005387798,0.00001106985,0.004157721],"genre_scores_gemma":[0.9918168,0.0002637685,0.0004192393,0.000122901,0.00000428648,0.00003010911,0.0002527905,0.000008690679,0.007081343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02732472,"threshold_uncertainty_score":0.1982557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389802225824579,"score_gpt":0.2392648685918153,"score_spread":0.2153668463335695,"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."}}