{"id":"W2938746304","doi":"10.1080/02673037.2019.1585521","title":"Housing affordability, subsidized lending and cross-city variation in the performance of China’s housing provident fund program","year":2019,"lang":"en","type":"article","venue":"Housing Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"Fudan University","keywords":"Subsidy; China; Business; Variation (astronomy); Distribution (mathematics); Inequality; Subsidized housing; Panel data; Economics; Demographic economics; Labour economics; Finance; Geography; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001496938,0.0002100769,0.0003722083,0.001305445,0.0006032179,0.0009507427,0.0005076961,0.000393473,0.00212318],"category_scores_gemma":[0.003308455,0.0001584794,0.0004981742,0.002154495,0.0007458054,0.0006242037,0.001054314,0.0004833399,0.0002314191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136151,"about_ca_system_score_gemma":0.0008750958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07263675,"about_ca_topic_score_gemma":0.1186048,"domain_scores_codex":[0.9989089,0.0002600346,0.00007851449,0.0002581816,0.0002248936,0.0002694771],"domain_scores_gemma":[0.9959621,0.0007059996,0.001406596,0.0004920202,0.0007157814,0.0007175831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006653801,0.00005738934,0.9951308,0.000009698279,0.000165328,0.00006760995,0.0005196025,0.000565245,0.0002244243,0.0003119635,0.0003371975,0.002544392],"study_design_scores_gemma":[0.000001507857,0.00001496993,0.9989502,0.000002143093,0.000009625869,0.000006998283,0.0002865419,0.0003996514,0.00003820136,0.00002579433,0.0002612539,0.000003230911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990759,0.0000575205,0.00008233847,0.00004056938,0.000004222619,0.000006103596,0.0002551042,0.0000041186,0.0004742562],"genre_scores_gemma":[0.9993739,0.00001768974,0.00003327554,0.000007958016,0.000002886143,0.000004719705,0.0003272704,0.00000187603,0.0002304794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07263675,"threshold_uncertainty_score":0.1444279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479239325332267,"score_gpt":0.2978981172534442,"score_spread":0.2331057240001215,"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."}}