{"id":"W3006880700","doi":"","title":"Assessing the Effects of Housing Policy Measures on New Lending in Australia","year":2020,"lang":"en","type":"article","venue":"BIS Papers chapters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Debt; Household debt; Business; Human settlement; Economics; Monetary economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745323,0.0001466268,0.0003176778,0.0001996209,0.00006933738,0.0001038051,0.0002066206,0.00007293345,0.00003966835],"category_scores_gemma":[0.0003385459,0.000143038,0.0001099816,0.0002519202,0.00005426941,0.0001841053,0.00003834093,0.000152879,0.0000450086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215594,"about_ca_system_score_gemma":0.00003623624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240222,"about_ca_topic_score_gemma":0.00005060191,"domain_scores_codex":[0.9990014,0.00001900224,0.0003910303,0.0002818049,0.00003420304,0.000272586],"domain_scores_gemma":[0.9993696,0.0001238153,0.0002313103,0.0001741266,0.000004339304,0.00009681953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002409125,0.0001957392,0.468759,0.000737,0.0003610104,0.00006054921,0.02577943,0.006744076,0.0197511,0.2434374,0.00197986,0.231954],"study_design_scores_gemma":[0.01173949,0.001502442,0.7159528,0.001722399,0.0001166588,0.00001401543,0.005835725,0.01149069,0.01519924,0.01615677,0.2158408,0.004428982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435366,0.000136425,0.0001320083,0.003374015,0.0003748997,0.0001654422,0.000003466859,0.00002850768,0.05224857],"genre_scores_gemma":[0.9984516,0.0001668408,0.0001440249,0.0009183207,0.0002120609,0.000002574377,0.000001178098,0.00002547487,0.00007791785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2471938,"threshold_uncertainty_score":0.583292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08191769809948847,"score_gpt":0.2752051160224162,"score_spread":0.1932874179229278,"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."}}