{"id":"W7113116756","doi":"","title":"El impacto de la política inmobiliaria de Shanghai en el precio de la vivienda. El caso del impuesto sobre bienes inmuebles","year":2024,"lang":"es","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capital (architecture); Quarter (Canadian coin)","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":[0.0006347873,0.000248353,0.0001055658,0.0005903243,0.001336316,0.002893872,0.0002081832,0.0004328194,0.01223217],"category_scores_gemma":[0.0009843281,0.0001514596,0.0001832226,0.001192328,0.001377534,0.0009343179,0.001529589,0.0007425421,0.0009643947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007764933,"about_ca_system_score_gemma":0.009785173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2067304,"about_ca_topic_score_gemma":0.3868745,"domain_scores_codex":[0.9995696,0.00008900433,0.00001052771,0.00003010835,0.00007611106,0.0002246763],"domain_scores_gemma":[0.999144,0.000100988,0.0001490734,0.00002575602,0.000150894,0.0004292908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006121316,0.0001844037,0.3694853,0.001055669,0.0001206238,0.002612844,0.02805517,0.004293504,0.006000644,0.329973,0.1271926,0.1304141],"study_design_scores_gemma":[0.00002877919,0.0003082778,0.4534278,0.0002790147,0.00007190266,0.0001953552,0.01880456,0.001539836,0.001986113,0.005140049,0.5181569,0.00006141885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7246954,0.005507684,0.00206251,0.04079738,0.0005264561,0.00006500923,0.002018174,0.0002636388,0.2240637],"genre_scores_gemma":[0.911362,0.001909979,0.0003205842,0.001078468,0.00005825322,0.00001765794,0.000397795,0.00002704421,0.08482821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2067304,"threshold_uncertainty_score":0.4110543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301188770135227,"score_gpt":0.3086286435281732,"score_spread":0.3023274547580379,"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."}}