{"id":"W4234843904","doi":"10.15396/eres2021_34","title":"European Statistics on Housing Prices and beyond","year":2021,"lang":"en","type":"article","venue":"28th Annual European Real Estate Society Conference","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Economic statistics; Quarter (Canadian coin); Official statistics; Urbanization; Economics; Summary statistics; Quality (philosophy); Economic indicator; Business; Public economics; Statistics; Economic growth; Geography; Macroeconomics; Econometrics","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":[0.0007901073,0.0002827977,0.0003894493,0.00005055779,0.0002991009,0.0004141542,0.0002404114,0.00005320007,0.0001712365],"category_scores_gemma":[0.0001134012,0.0003429966,0.0001156195,0.0001571848,0.0002048781,0.0002908357,0.0002444076,0.0003144022,0.0007330291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802534,"about_ca_system_score_gemma":0.0000715309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022589,"about_ca_topic_score_gemma":0.00003917863,"domain_scores_codex":[0.9980251,0.0001180271,0.0006051182,0.0007132707,0.00005689595,0.0004816182],"domain_scores_gemma":[0.9988054,0.0001104203,0.0003430877,0.0003825453,0.0001243662,0.0002341857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009903774,0.0004633375,0.01411393,0.0003518233,0.0003250384,0.0007706577,0.04181085,0.0004852527,0.0001510632,0.1865902,0.02745773,0.7273811],"study_design_scores_gemma":[0.003633712,0.0007150639,0.1240162,0.0001881082,0.00007867297,0.00007195189,0.01472309,0.02180995,0.0001184777,0.01200308,0.8195491,0.003092638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1953126,0.00007135188,0.005316982,0.0003144019,0.0003155209,0.00009393999,0.001053122,0.0001133006,0.7974088],"genre_scores_gemma":[0.9459735,0.03179585,0.0172418,0.001780896,0.0003144147,0.000002180586,0.0002966991,0.0001647669,0.002429958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7949788,"threshold_uncertainty_score":0.9999022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611901513861634,"score_gpt":0.2173470961129069,"score_spread":0.1912280809742906,"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."}}