{"id":"W4416459518","doi":"10.1108/ijhma-09-2025-203","title":"Editorial","year":2025,"lang":"en","type":"article","venue":"International Journal of Housing Markets and Analysis","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Distribution (mathematics); Descriptive statistics; Perspective (graphical); Public housing; Market research; Descriptive research","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":[0.0008842743,0.00008307366,0.0003508281,0.001382568,0.00005562213,0.000213358,0.0002371404,0.00006231603,0.0001492011],"category_scores_gemma":[0.0001529882,0.00008652034,0.0002514815,0.0003676915,0.00004083035,0.0002164334,0.00005902863,0.000118008,0.000005709115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000844504,"about_ca_system_score_gemma":0.00003005392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000509847,"about_ca_topic_score_gemma":0.00001670576,"domain_scores_codex":[0.9990541,0.00001416357,0.0006322681,0.0001379863,0.00005759802,0.0001039062],"domain_scores_gemma":[0.9991555,0.00007789931,0.0004741291,0.00008906395,0.0001589665,0.0000444288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005213512,0.0002178566,0.7874469,0.00002439789,0.009863541,0.00003380729,0.0002701717,0.0009214815,0.00005124692,0.05026849,0.08515216,0.0652286],"study_design_scores_gemma":[0.001337762,0.00003496163,0.04216285,0.00006497312,0.0004287054,0.000009885966,0.00008780687,0.009495173,0.00002369211,0.03657389,0.90951,0.0002702677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5635409,0.003364909,0.06403965,0.006303033,0.1477405,0.00008551989,0.00005824687,0.00003531772,0.2148319],"genre_scores_gemma":[0.9893255,0.001751091,0.0009857077,0.0001624575,0.007364675,4.108128e-7,0.000002946337,0.000006947941,0.0004002778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8243579,"threshold_uncertainty_score":0.3528197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009210248140647703,"score_gpt":0.2331136684113741,"score_spread":0.2239034202707264,"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."}}