{"id":"W2023306359","doi":"10.1080/14786451.2014.930466","title":"Energy consumption in the residential sector: a study on critical factors","year":2014,"lang":"en","type":"article","venue":"International Journal of Sustainable Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consumption (sociology); Energy consumption; Electricity; Regression analysis; Identification (biology); Environmental economics; Affect (linguistics); Business; Econometrics; Engineering; Economics; Statistics; Psychology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342784,0.0001087104,0.0001240737,0.0003536378,0.00004606594,0.0001021675,0.0003789523,0.00005594926,0.00005228386],"category_scores_gemma":[0.0001136842,0.00008195314,0.00006101407,0.0001157212,0.00002482279,0.0002504328,0.00002481226,0.000157259,3.82491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607726,"about_ca_system_score_gemma":0.00002190578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001816681,"about_ca_topic_score_gemma":0.00006379397,"domain_scores_codex":[0.9988596,0.0001071913,0.0003175607,0.00008284987,0.0004638817,0.0001688757],"domain_scores_gemma":[0.9993495,0.0002489272,0.00006660049,0.0001017051,0.0001965812,0.00003667726],"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":[0.00008960032,0.0002281082,0.003102754,0.000006343637,0.00008532459,0.0002041248,0.0005450239,0.7063599,0.00008036969,0.2873084,0.001021805,0.0009683503],"study_design_scores_gemma":[0.01571706,0.005739734,0.1200394,0.0006988589,0.0003788245,0.001049162,0.05159754,0.4222403,0.01929967,0.1529508,0.2074363,0.002852352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606042,0.0001427899,0.135324,0.0003259055,0.001545055,0.00003735592,0.00000112196,0.00004063897,0.001978891],"genre_scores_gemma":[0.9992487,0.00003845182,0.00006006813,0.0001377544,0.0003748841,0.000006541786,0.000003818222,0.00001543907,0.0001142745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2841195,"threshold_uncertainty_score":0.3341952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118581544538703,"score_gpt":0.2521696866760683,"score_spread":0.2409838712306813,"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."}}