{"id":"W2768517277","doi":"","title":"Energy Consumption Tends of Multi-unit Residential Buildings in the City of Toronto","year":2012,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Architectural engineering; Energy consumption; Consumption (sociology); Geography; Environmental science; Sociology; Engineering; Psychology; Mathematics education; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001616424,0.00007740952,0.0001501613,0.00002351353,0.0000361418,0.000002271222,0.0002034062,0.00008852579,0.001736377],"category_scores_gemma":[0.000004987963,0.000084156,0.00005622198,0.00003968204,0.0000596991,0.0005023995,0.00004122045,0.00004413579,2.312198e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022564,"about_ca_system_score_gemma":0.000008544263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1810841,"about_ca_topic_score_gemma":0.1089767,"domain_scores_codex":[0.999535,0.00003775167,0.00009430591,0.00006782837,0.0001315207,0.0001335679],"domain_scores_gemma":[0.9996473,0.00002983838,0.00008141104,0.0001750276,0.00003632877,0.00003011475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009365266,0.001771672,0.2454845,0.001186508,0.0008749616,0.00001258337,0.1310621,0.2976571,0.1129585,0.0792256,0.00280557,0.1260244],"study_design_scores_gemma":[0.001536051,0.00009326725,0.9360669,0.0001161301,0.0001164989,0.000004147807,0.007792709,0.04569946,0.006585666,0.00001527793,0.001657381,0.0003165331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586551,0.002098192,0.03046676,0.00002700164,0.0001522511,0.00005688844,0.000006840135,0.0000419881,0.008495019],"genre_scores_gemma":[0.9954113,0.0007261017,0.00361682,0.000003552286,0.00001725054,2.411662e-7,0.000006531478,0.000006656403,0.0002115256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6905824,"threshold_uncertainty_score":0.9991761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919069447383529,"score_gpt":0.2274674855767125,"score_spread":0.2082767911028772,"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."}}