{"id":"W1488156890","doi":"10.3968/6167","title":"Analysis on Influencing Factors on the Fluctuation of Commercial Housing Prices Based on ECM Model: Taking Changsha as an Example","year":2014,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Real estate; Per capita; Error correction model; Term (time); Urbanization; Economics; Agricultural economics; Econometrics; Finance; Economic growth; Cointegration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001089318,0.0005663713,0.0006706901,0.0006659905,0.000317655,0.0009246644,0.0007556331,0.0006345184,0.001654633],"category_scores_gemma":[0.003256542,0.0002428829,0.001071076,0.0007184209,0.0003063932,0.0008850136,0.0003610221,0.0007063911,0.0001416283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000689812,"about_ca_system_score_gemma":0.000635886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05091459,"about_ca_topic_score_gemma":0.0219507,"domain_scores_codex":[0.9996549,0.00009882732,0.00001820739,0.00008954858,0.00006156156,0.00007690993],"domain_scores_gemma":[0.9983112,0.001176368,0.0001651777,0.00006254257,0.0002231697,0.00006159348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002238333,0.0001269637,0.134177,0.0001286897,0.0002823136,0.001434215,0.0002683114,0.8288014,0.002355793,0.01210264,0.002458186,0.01764064],"study_design_scores_gemma":[0.00000806038,0.00001863567,0.01529178,0.000004116808,0.00003224767,0.00003995579,0.00004566386,0.9833537,0.0001408558,0.0008986736,0.0001541783,0.00001212242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736152,0.0003233483,0.02316452,0.0003570488,0.00003036046,0.00002261902,0.0003589589,0.0001177771,0.002010084],"genre_scores_gemma":[0.997997,0.0001153858,0.0009793978,0.00001418036,0.00001083193,0.000008546432,0.0002616042,0.0000134465,0.0005995898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05091459,"threshold_uncertainty_score":0.1012365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640423716488175,"score_gpt":0.2902865546328907,"score_spread":0.253882317468009,"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."}}