{"id":"W3014708259","doi":"10.22300/1949-8276.11.1.130","title":"Drivers of Investment in Commercial Real Estate Sustainability: 2006–2018","year":2019,"lang":"en","type":"article","venue":"Journal of Sustainable Real Estate","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Business; Sustainability; Investment (military); Finance; Natural resource economics; Economics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000678862,0.000149855,0.00009901365,0.0009285486,0.0006666975,0.001888186,0.0003390319,0.0003027467,0.00202839],"category_scores_gemma":[0.002163987,0.0001416138,0.000189295,0.001435495,0.000466649,0.0008264694,0.0008175245,0.0006975938,0.0002733297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006527961,"about_ca_system_score_gemma":0.004543314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.553143,"about_ca_topic_score_gemma":0.7087453,"domain_scores_codex":[0.9995547,0.00003222461,0.00001768403,0.00004489642,0.0001771243,0.0001734872],"domain_scores_gemma":[0.9980064,0.0001666444,0.000666418,0.00004492634,0.0006979174,0.0004178211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006139237,0.0000570974,0.9763974,0.00003171047,0.00001539848,0.000105152,0.005288597,0.0004187241,0.000379214,0.0009657169,0.001672784,0.0146068],"study_design_scores_gemma":[7.306696e-7,0.00001765839,0.9841083,0.00002276457,0.000003084901,0.00003547637,0.007435217,0.0002729059,0.0001415399,0.00006084514,0.007893419,0.00000813433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926599,0.0001448418,0.0001097591,0.0004609278,0.000007529187,0.00001549424,0.00110777,0.000006324582,0.00548738],"genre_scores_gemma":[0.9968939,0.0001845137,0.000152204,0.00003118137,0.000005549578,0.00001075812,0.0008813499,0.000003606887,0.001836911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.553143,"threshold_uncertainty_score":0.8989772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006553155250631615,"score_gpt":0.2383675551926894,"score_spread":0.2318143999420578,"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."}}