{"id":"W4403280579","doi":"10.1016/j.enbuild.2024.114868","title":"A meta-analysis of the schematic design process of deep retrofit projects","year":2024,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pembina Institute; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Schematic; Process (computing); Engineering; Architectural engineering; Computer science; Construction engineering; Manufacturing engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04924568,0.002726723,0.008305777,0.008616501,0.0008948134,0.004079971,0.003118944,0.002160334,0.005105657],"category_scores_gemma":[0.120247,0.001488419,0.04583424,0.009205815,0.001053533,0.00246248,0.002126147,0.00266501,0.0004065764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005990929,"about_ca_system_score_gemma":0.006919506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0150924,"about_ca_topic_score_gemma":0.02424443,"domain_scores_codex":[0.9538873,0.03111568,0.007115433,0.003613764,0.00360094,0.0006669537],"domain_scores_gemma":[0.8740568,0.1076631,0.008111828,0.004645524,0.004757231,0.0007655101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003159347,0.00006314857,0.01091225,0.2304675,0.7207587,0.0002276802,0.0005207296,0.003039725,0.000443738,0.0009246033,0.001962418,0.02752017],"study_design_scores_gemma":[0.0008400706,0.0004761049,0.006619178,0.02959608,0.9532353,0.000120973,0.0002413382,0.0007038959,0.0004340621,0.001106473,0.006575397,0.00005106807],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0581155,0.9060006,0.01722077,0.001372248,0.0006462922,0.00376499,0.008892924,0.0002600215,0.003726653],"genre_scores_gemma":[0.7412161,0.2120218,0.02769107,0.001442806,0.0001734614,0.009492954,0.006354763,0.0002514112,0.001355576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04924568,"threshold_uncertainty_score":0.2604392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04646977420565505,"score_gpt":0.2530094797436978,"score_spread":0.2065397055380427,"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."}}