{"id":"W1984721568","doi":"10.5539/ass.v4n11p156","title":"The Review on Non-linear Analysis and Forecasting Methods of the Real Estate Market in China","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Municipal Education Commission","keywords":"Premise; Real estate; China; Market analysis; Computer science; Econometrics; Operations research; Economics; Finance; Mathematics; Management; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184901,0.00004186109,0.00009626436,0.0000452968,0.0001900735,0.00001817998,0.0001482434,0.00001387313,0.000007628817],"category_scores_gemma":[0.0001914089,0.00002563785,0.00003509213,0.001547587,0.0001028659,0.00006618676,0.00001404941,0.00006064387,1.929637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002719076,"about_ca_system_score_gemma":0.00002322361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001140118,"about_ca_topic_score_gemma":0.00002896994,"domain_scores_codex":[0.9993899,0.00008778389,0.0001539392,0.0000799909,0.0001862843,0.0001021234],"domain_scores_gemma":[0.9997647,0.00004861167,0.00004853021,0.00008814128,0.00003060877,0.00001937236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001374959,0.00000330826,0.0003195035,0.00001331224,0.000005417779,8.506358e-8,0.001029041,0.008049776,0.0001104112,0.000532007,0.0000454752,0.9898903],"study_design_scores_gemma":[0.00005479184,0.00000645981,0.3875681,0.00004575247,0.00002422188,1.297745e-7,0.00007129639,0.6116425,0.0001112955,0.0003324315,0.00009546397,0.0000475901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01738191,0.0002044856,0.05063961,0.003239607,0.0001104614,0.0003776158,0.00000295287,0.00003379628,0.9280096],"genre_scores_gemma":[0.9850289,0.00273925,0.01198554,0.000142381,0.00001739369,0.000003287061,3.858813e-7,0.000003252335,0.00007962691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898427,"threshold_uncertainty_score":0.1461911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935831724621296,"score_gpt":0.3582609570738504,"score_spread":0.3289026398276375,"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."}}