{"id":"W2763117125","doi":"10.15396/eres2017_349","title":"Determinants of foreign direct investment inflow in real estate sector","year":2017,"lang":"en","type":"article","venue":"24th Annual European Real Estate Society Conference","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Gross domestic product; Price index; Foreign direct investment; Index (typography); Investment (military); Inflow; Economics; Exchange rate; Business; Real estate investment trust; Incentive; Product (mathematics); International economics; Monetary economics; Finance; Economic growth; Market economy; Macroeconomics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002373051,0.0003059999,0.0004041143,0.00002974508,0.0003118113,0.0001063493,0.001001154,0.0001054324,0.0003694816],"category_scores_gemma":[0.0003672211,0.0002890057,0.0001592119,0.0001302389,0.0008110633,0.0005432322,0.0007382972,0.0003466417,0.000148894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166042,"about_ca_system_score_gemma":0.0001143605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009508313,"about_ca_topic_score_gemma":0.002665456,"domain_scores_codex":[0.9969418,0.0006608343,0.0006543873,0.0006147039,0.0005817335,0.0005465382],"domain_scores_gemma":[0.9979769,0.0001716418,0.0006011301,0.0009476272,0.00007472977,0.0002279606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008120268,0.0001844736,0.5180082,0.00008442452,0.00002887726,0.0001168495,0.03231999,0.0009602212,0.002829916,0.0002655284,0.001301405,0.4438189],"study_design_scores_gemma":[0.001155909,0.0003644575,0.9769512,0.0001039932,0.00003213093,0.000007014502,0.00205819,0.0128308,0.001872,0.0006488323,0.003433475,0.0005420204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5437741,9.987979e-7,0.0001290597,0.00002569152,0.00008550774,0.0002293849,0.00006941021,0.00003735399,0.4556485],"genre_scores_gemma":[0.9744622,0.00411979,0.01986852,0.0001841042,0.00004095036,0.00001567322,0.00001427585,0.00004839943,0.00124605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.458943,"threshold_uncertainty_score":0.9999562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05473608917135392,"score_gpt":0.3313260712754201,"score_spread":0.2765899821040662,"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."}}