{"id":"W4289839559","doi":"10.1007/s11146-022-09917-w","title":"Coming of Age: Renovation Premiums in Housing Markets","year":2022,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Miljø- og Biovitenskapelige Universitet","keywords":"Real estate; Norwegian; Econometrics; Quarter (Canadian coin); Residential real estate; Price premium; Regression analysis; Economics; Business; Geography; Statistics; Mathematics; Finance; Microeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.002722361,0.0001181184,0.0004812783,0.0002610878,0.0001450999,0.0000298599,0.0002611878,0.00004008639,0.00002903875],"category_scores_gemma":[0.00003413871,0.0001217178,0.00007311064,0.0001584879,0.00008255418,0.0003108963,0.0001230664,0.0002897283,0.000002042827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062349,"about_ca_system_score_gemma":0.00005398418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004426704,"about_ca_topic_score_gemma":0.0001747101,"domain_scores_codex":[0.9984959,0.00004187709,0.00109406,0.0001355971,0.00002184831,0.0002107511],"domain_scores_gemma":[0.9981964,0.0001411534,0.001429263,0.000184414,0.00002038153,0.00002835312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003499507,0.000514369,0.3799657,0.0002594677,0.0002044445,0.00008652799,0.0227644,0.2193827,0.0002379512,0.04989728,0.00143689,0.3217507],"study_design_scores_gemma":[0.01052075,0.001707149,0.5363593,0.0002762665,0.0001101741,0.0006917074,0.008564476,0.1176149,0.0005642014,0.135829,0.1858374,0.001924613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806144,0.0002241143,0.00008705699,0.0002466944,0.0003552365,0.00009150323,0.00002487944,0.000003303776,0.01835278],"genre_scores_gemma":[0.9661976,0.03313056,0.0004661319,0.00005529843,0.00005107104,0.000002301235,0.000003306556,0.00002019122,0.00007359257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3198261,"threshold_uncertainty_score":0.4963506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268546426641036,"score_gpt":0.208101601841645,"score_spread":0.1854161375752346,"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."}}