{"id":"W3036978067","doi":"","title":"Housing Trends in China and India | Bulletin – March Quarter 2014","year":2014,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Political science; Geography; Economic growth; Economics; Law","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":[0.0002188681,0.000282466,0.000197591,0.00235589,0.0006753635,0.001072384,0.0004317867,0.0002904013,0.007790618],"category_scores_gemma":[0.0006154431,0.0002309628,0.0002259756,0.006976146,0.000223005,0.0006605451,0.0005423896,0.000418507,0.001411457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339258,"about_ca_system_score_gemma":0.002855237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2839184,"about_ca_topic_score_gemma":0.5190358,"domain_scores_codex":[0.9997984,0.00001276616,0.00002634729,0.00002137909,0.00007533893,0.00006579744],"domain_scores_gemma":[0.999403,0.00002587337,0.0001376187,0.00002124137,0.0003108791,0.0001014084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001615074,0.0000920367,0.5984605,0.0003911155,0.0000841035,0.0002332825,0.0008399116,0.0004705953,0.0004758543,0.00100939,0.3422597,0.05552193],"study_design_scores_gemma":[0.000003062309,0.00001508967,0.9390756,0.00001938936,0.00001262821,0.0000531874,0.0006651208,0.0001015563,0.0001400354,0.00002380562,0.05988312,0.000007381196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7375193,0.005729335,0.0002806857,0.009510281,0.001495574,0.00009706134,0.1693479,0.0006522057,0.07536773],"genre_scores_gemma":[0.824679,0.005299837,0.0005180553,0.0007169541,0.000606807,0.00009205881,0.07758061,0.00008371026,0.09042304],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2839184,"threshold_uncertainty_score":0.5645317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258036620675337,"score_gpt":0.2578897050383521,"score_spread":0.2453093388315987,"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."}}