{"id":"W3125784456","doi":"","title":"Anticipating Critical Transitions of Chinese Housing Markets","year":2017,"lang":"en","type":"article","venue":"Swiss Finance Institute Research Paper Series","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile; Beijing; Real estate; Econometrics; Robustness (evolution); China; Confidence interval; Calibration; Warning system; Economics; Quantile regression; Computer science; Statistics; Geography; Mathematics; Finance","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":[0.001040795,0.0003363879,0.0002824646,0.001046796,0.000251684,0.0005618064,0.0005795637,0.0002925952,0.001088399],"category_scores_gemma":[0.006084607,0.0002217056,0.0002609673,0.0004561987,0.0006039899,0.001043252,0.000736855,0.0004113065,0.00005236965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005870422,"about_ca_system_score_gemma":0.0004047588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036608,"about_ca_topic_score_gemma":0.004972429,"domain_scores_codex":[0.9998412,0.00002971175,0.00001080082,0.00005110956,0.00003392913,0.00003311893],"domain_scores_gemma":[0.998174,0.0006716275,0.0006079311,0.0001138367,0.0002965908,0.0001360392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002785835,0.0000976189,0.342066,0.0002175852,0.0001518046,0.001240485,0.001924181,0.4554675,0.01660666,0.106537,0.002180945,0.07323167],"study_design_scores_gemma":[0.000007205388,0.0000323954,0.054166,0.00001045954,0.00001576251,0.00004311696,0.0001299823,0.9310273,0.002035,0.01208041,0.0004301349,0.00002212111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842277,0.0001449647,0.1133904,0.0002190307,0.0000140925,0.00003071648,0.0002231388,0.0001455986,0.001604416],"genre_scores_gemma":[0.9971258,0.00002711437,0.002634946,0.000007992725,0.000006792407,0.000007670397,0.00005884977,0.000005278528,0.0001256953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036608,"threshold_uncertainty_score":0.02061146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090366999753384,"score_gpt":0.3659038798901305,"score_spread":0.2568671799147921,"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."}}