{"id":"W4214936455","doi":"10.21203/rs.3.rs-1401776/v1","title":"Coming of Age: Renovation Premiums in Housing Markets","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Norwegian; Residential real estate; Quarter (Canadian coin); Econometrics; Price premium; Economics; Regression analysis; Variation (astronomy); Hedonic regression; Maturity (psychological); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002030228,0.0001942835,0.0004019915,0.001250484,0.0002523642,0.001061219,0.0004110872,0.000389325,0.005012186],"category_scores_gemma":[0.009217571,0.0001228345,0.0006067374,0.001296182,0.0004285506,0.001483888,0.0005793946,0.0006576866,0.0004225507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194965,"about_ca_system_score_gemma":0.0001613404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006688677,"about_ca_topic_score_gemma":0.008372393,"domain_scores_codex":[0.9991989,0.0001600297,0.00006820223,0.0002444494,0.0002123919,0.0001160256],"domain_scores_gemma":[0.9870077,0.005315597,0.005614801,0.0007805333,0.0007206313,0.0005606959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914187,0.00008851484,0.9802581,0.00005349159,0.0001213476,0.0002633543,0.0004815386,0.003160465,0.0009731179,0.001250235,0.0005885789,0.01256978],"study_design_scores_gemma":[0.000004823142,0.00004315567,0.9880279,0.00001614671,0.00003200817,0.0001489428,0.0003952328,0.008261227,0.0005169165,0.001408429,0.001130628,0.00001460505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969466,0.0003343025,0.0008903135,0.00006520923,0.0000107055,0.000004023158,0.0007269376,0.00001294313,0.001008993],"genre_scores_gemma":[0.9986859,0.00005251524,0.0001800877,0.000008866578,0.00001603244,0.000001403371,0.0007767958,0.000005907756,0.0002724596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006688677,"threshold_uncertainty_score":0.01676744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232427672202171,"score_gpt":0.3468122616537109,"score_spread":0.2235694944334938,"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."}}