{"id":"W2890126018","doi":"10.12783/dtssehs/amse2018/24855","title":"Empirical Study on the Impact in Economic Growth by Real Estate Investment Growth Rate","year":2018,"lang":"en","type":"article","venue":"DEStech Transactions on Social Science Education and Human Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Investment (military); Quarter (Canadian coin); Economics; Volatility (finance); Real gross domestic product; Growth rate; Monetary economics; Finance; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003180786,0.0001531473,0.0001907317,0.0005849733,0.002261862,0.0005618584,0.0005404279,0.00004353038,0.000126059],"category_scores_gemma":[0.00004847217,0.0001357536,0.0000456462,0.001020924,0.002105861,0.0007124974,0.00001473916,0.000187809,0.0001261219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009481622,"about_ca_system_score_gemma":0.000600967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002229137,"about_ca_topic_score_gemma":0.0004092501,"domain_scores_codex":[0.9984283,0.00004382885,0.0003758278,0.0006527332,0.00008890234,0.0004104508],"domain_scores_gemma":[0.9993069,0.0000641868,0.0001667932,0.0002362017,0.00006611276,0.0001598402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001403195,0.006704861,0.3850357,0.00001430833,0.00004063607,0.000001443529,0.1020323,0.00005045925,0.002423516,0.4697067,0.004076488,0.0297733],"study_design_scores_gemma":[0.0005178113,0.0007366532,0.9647031,0.00001064581,0.000005396582,0.000002098402,0.006767529,0.0006320047,0.0008991618,0.02461526,0.0006595921,0.0004507054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931461,0.000001700916,0.0001036082,0.0009296518,0.0003910426,0.0003036889,0.00001404334,0.00002295698,0.1050872],"genre_scores_gemma":[0.9992477,0.00005178345,0.00002402564,0.000404129,0.00007860128,0.00004524735,8.809221e-7,0.000009556743,0.0001380178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5796675,"threshold_uncertainty_score":0.9990371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06444579184257136,"score_gpt":0.3487351577287389,"score_spread":0.2842893658861675,"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."}}