{"id":"W7100236580","doi":"","title":"Commercial Real Estate Return Cycles: Do Capital Flows Matter? by","year":2006,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Capital (architecture); Corporate Real Estate; Real property; Real estate investment trust; Estate","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":[0.001522083,0.0002314606,0.0004330377,0.0005794098,0.0004216796,0.004268895,0.0004594414,0.001001457,0.02892941],"category_scores_gemma":[0.02011825,0.0001853954,0.0004211068,0.001062607,0.0007946214,0.002971537,0.0006202095,0.001206075,0.002661816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000935577,"about_ca_system_score_gemma":0.0007554456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112186,"about_ca_topic_score_gemma":0.007785061,"domain_scores_codex":[0.9993777,0.0002149108,0.00004743253,0.0001704131,0.00007945939,0.0001100554],"domain_scores_gemma":[0.9867797,0.00729588,0.002971392,0.0007090949,0.0009734123,0.001270539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001071326,0.0002485643,0.7609017,0.0002129218,0.0005278169,0.0004270961,0.001084199,0.003280561,0.0004529138,0.05316192,0.05500077,0.1236302],"study_design_scores_gemma":[0.0001480374,0.0001757602,0.8171898,0.0002978016,0.0004404785,0.0003721572,0.002065872,0.008400712,0.0005238687,0.09555692,0.07476781,0.0000607172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478178,0.01530059,0.003036745,0.04742408,0.0007485772,0.00006877758,0.005222075,0.0001533212,0.08022805],"genre_scores_gemma":[0.9881334,0.001535109,0.0001705499,0.0007140157,0.0002498376,0.00001038929,0.0008033769,0.00005454783,0.008328822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892941,"threshold_uncertainty_score":0.09677851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081199914661677,"score_gpt":0.1916490268443018,"score_spread":0.180837027697685,"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."}}