{"id":"W4247167191","doi":"10.32920/ryerson.14668131","title":"Advanced Cluster and Predictive Analysis Tool Development for Commercial Office Real Estate Energy Usage","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Computer science; Object (grammar); Engineering; Business; Artificial intelligence; Marketing","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":[0.001623788,0.001429206,0.0007550425,0.002275207,0.0006799271,0.001635523,0.002395391,0.0004527453,0.02569268],"category_scores_gemma":[0.006957675,0.0007033558,0.001315001,0.003055579,0.00028864,0.001986217,0.001324723,0.001628219,0.01674473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058722,"about_ca_system_score_gemma":0.001888754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478139,"about_ca_topic_score_gemma":0.0287652,"domain_scores_codex":[0.9992844,0.0001043076,0.00005693989,0.0002011845,0.0002824658,0.00007069583],"domain_scores_gemma":[0.9985061,0.0005567875,0.00006682434,0.0003360464,0.0004512164,0.00008316106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007744942,0.0004749026,0.01888939,0.0007921919,0.0003849181,0.0003776726,0.0008205222,0.1165619,0.00345533,0.01601327,0.6383001,0.2031554],"study_design_scores_gemma":[0.0001998036,0.00008809753,0.009669331,0.0001417707,0.00005920949,0.0001072319,0.0003725353,0.827948,0.006678493,0.01739836,0.1372478,0.00008924759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.04473696,0.0005520774,0.2734154,0.0009665745,0.0004414581,0.000713354,0.19528,0.4559929,0.02790127],"genre_scores_gemma":[0.1977586,0.0007165216,0.3795584,0.0003817533,0.0001306841,0.001954091,0.3755473,0.02889726,0.01505536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02569268,"threshold_uncertainty_score":0.08595055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567790261285227,"score_gpt":0.2744979765327588,"score_spread":0.2588200739199065,"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."}}