{"id":"W3104076510","doi":"10.1108/jpif-05-2020-0052","title":"Estimating the value, ownership structure and turnover rate for investible commercial real estate from transaction datasets","year":2020,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Real estate; Transaction cost; Value (mathematics); Database transaction; Econometrics; Asset (computer security); Transaction data; Economics; Portfolio; Financial economics; Computer science; Database; Microeconomics; Finance","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":[0.002374776,0.0004136681,0.0003618956,0.004457575,0.0003523662,0.002033598,0.001099588,0.0008691144,0.001578599],"category_scores_gemma":[0.01770641,0.0002573171,0.0006599007,0.004401747,0.0003228167,0.001931849,0.001125193,0.0008219323,0.001485112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062948,"about_ca_system_score_gemma":0.0006907465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178668,"about_ca_topic_score_gemma":0.01745065,"domain_scores_codex":[0.9985482,0.0003548739,0.0002408734,0.0003670697,0.0003537153,0.0001352199],"domain_scores_gemma":[0.9890533,0.003756436,0.002963232,0.001969366,0.001828467,0.0004292086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002019977,0.0002618086,0.9243062,0.0001939322,0.0002346374,0.0002451107,0.0003762333,0.007319237,0.0005814475,0.002022091,0.01636186,0.04789538],"study_design_scores_gemma":[0.00007449403,0.0002702496,0.7913071,0.0003406183,0.0002148412,0.00100517,0.003205318,0.1595213,0.003274702,0.006171574,0.03449938,0.0001152914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927458,0.0005971167,0.01174374,0.0006236885,0.00007617848,0.0001556877,0.05516335,0.0003152489,0.003866955],"genre_scores_gemma":[0.8696703,0.0002524081,0.0204444,0.00008832786,0.00005714171,0.0002372184,0.1074867,0.00005285839,0.001710702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178668,"threshold_uncertainty_score":0.02343613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05557132336393671,"score_gpt":0.2290312168924493,"score_spread":0.1734598935285126,"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."}}