{"id":"W4366705304","doi":"10.2139/ssrn.4276452","title":"Quantifying the Impacts of Climate Shocks in Commercial Real Estate Market","year":2022,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate risk; Real estate; Portfolio; Capitalization; Business; Climate change; Natural resource economics; Economics; Finance; Financial economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323179,0.0004031056,0.0004446844,0.0005106895,0.0002980528,0.002225481,0.0004823501,0.00151056,0.003848128],"category_scores_gemma":[0.00642531,0.0003504949,0.0004670985,0.0008653583,0.0006178407,0.002729147,0.0008159007,0.001310366,0.0002468289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104875,"about_ca_system_score_gemma":0.0006309953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0155515,"about_ca_topic_score_gemma":0.009470049,"domain_scores_codex":[0.9996747,0.0001115873,0.00002142236,0.00004947974,0.00004784101,0.00009504228],"domain_scores_gemma":[0.9962389,0.002401088,0.0005581439,0.0001791399,0.00029879,0.0003237846],"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":[0.0007425982,0.0005474584,0.2072891,0.0001452047,0.000241758,0.0006413042,0.0002241966,0.7452493,0.004377805,0.026907,0.002959354,0.0106749],"study_design_scores_gemma":[0.00003854113,0.0001939613,0.1151687,0.00001173194,0.00007816516,0.00004064556,0.0006026116,0.866012,0.001477024,0.01566124,0.0006777963,0.00003751758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942715,0.0001450732,0.001955358,0.0004046177,0.00002279653,0.00001767729,0.0004216109,0.00002407679,0.002737369],"genre_scores_gemma":[0.999312,0.00005987834,0.000131962,0.00001852217,0.000009231566,0.00000293846,0.0001347279,0.000004254528,0.0003264188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0155515,"threshold_uncertainty_score":0.030922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315754009423887,"score_gpt":0.2659078145620484,"score_spread":0.2327502744678095,"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."}}