{"id":"W2257106040","doi":"","title":"Una nota sobre el exceso de oferta de viviendas y la duración del ajuste del sector [A note on housing supply excess and the duration of the sector adjustment]","year":2009,"lang":"es","type":"article","venue":"MPRA Paper","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Welfare economics; Economics; Residential property; Duration (music); Supply and demand; Economy; Geography; Macroeconomics; Economic geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001335534,0.0004078513,0.000674013,0.0001674995,0.0004313651,0.0003100132,0.0004719969,0.0003519013,0.000218286],"category_scores_gemma":[0.0002739383,0.0003303089,0.0002765689,0.0002601072,0.0002693401,0.0004135552,0.0001208986,0.000449098,0.00004188084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189555,"about_ca_system_score_gemma":0.0001546307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009776683,"about_ca_topic_score_gemma":0.0004639128,"domain_scores_codex":[0.9975679,0.000213372,0.0009449585,0.0005707856,0.00008812149,0.0006148978],"domain_scores_gemma":[0.9978012,0.0005215386,0.0007955394,0.0007079546,0.00004807906,0.0001256336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005065838,0.001895853,0.5635266,0.001564649,0.001043909,0.0000436833,0.03119939,0.01360402,0.009697201,0.2203648,0.004554284,0.1474397],"study_design_scores_gemma":[0.004622719,0.0002251255,0.9183141,0.0004122291,0.0001873597,0.00003897561,0.0003472689,0.04826239,0.001123094,0.0119586,0.01361937,0.0008887433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750473,0.001199381,0.0003266189,0.003499391,0.000560834,0.0005145303,0.0002053749,0.0000287954,0.01861778],"genre_scores_gemma":[0.9927107,0.003783761,0.000236107,0.002359432,0.0004561164,0.000018633,0.00001376599,0.00006591931,0.0003555763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3547875,"threshold_uncertainty_score":0.9999149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277732891453157,"score_gpt":0.2277851729432997,"score_spread":0.2150078440287682,"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."}}