{"id":"W2744539167","doi":"","title":"Exploring the Value of Tenant Engagement for Energy Conservation and Understanding Owner and Manager Perspective for Implementation of Tenant Engagement Programs in Multi-use Residentail Buildings in Toronto","year":2016,"lang":"en","type":"article","venue":"Energy: Expectations and Uncertainty,39th IAEE International Conference,Jun 19-22, 2016","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Value (mathematics); Business; Architectural engineering; Computer science; Engineering; Artificial intelligence","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":[0.006200487,0.0002375949,0.0001713665,0.0005322308,0.005507441,0.005074714,0.001466533,0.0008299628,0.003895117],"category_scores_gemma":[0.01543357,0.0002322287,0.0003054095,0.000546843,0.002757004,0.002680635,0.004545772,0.001551598,0.0001763657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01791862,"about_ca_system_score_gemma":0.02109552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1642523,"about_ca_topic_score_gemma":0.4410531,"domain_scores_codex":[0.9927472,0.003925689,0.000145114,0.0002855674,0.0008096004,0.002086847],"domain_scores_gemma":[0.9891347,0.004180617,0.001422035,0.0002534293,0.00192003,0.003089201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003081374,0.0008351899,0.2620242,0.0002043158,0.00007513742,0.0009405843,0.6655449,0.001288286,0.0018874,0.01318847,0.003380384,0.05032298],"study_design_scores_gemma":[0.000006702166,0.0002057785,0.09635129,0.0001318122,0.0000247293,0.00005092788,0.8920913,0.001855875,0.0005473976,0.001135732,0.007574022,0.0000244081],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872565,0.00006305215,0.001159989,0.002471169,0.00001599845,0.00004658881,0.000024597,0.000009289139,0.008952848],"genre_scores_gemma":[0.9991788,0.00002239897,0.0002393515,0.00005230468,0.0000011427,0.00001470969,0.000006667079,0.00000210453,0.0004825701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8357477,"threshold_uncertainty_score":0.3265924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398188329986546,"score_gpt":0.3315437010276987,"score_spread":0.1917248680290441,"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."}}