{"id":"W2768211191","doi":"","title":"The residential property paradox","year":2017,"lang":"en","type":"article","venue":"Equity Jurnal Akuntansi","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residential property; Real estate; Economics; Quarter (Canadian coin); House price; Index (typography); Residential real estate; Price index; Estate; Public economics; Labour economics; Agricultural economics; Monetary economics; Finance; Macroeconomics; Geography","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":[0.001157016,0.0001238319,0.0002532047,0.0005566003,0.00224871,0.003565152,0.0005051621,0.001539127,0.01692932],"category_scores_gemma":[0.003905284,0.0001253282,0.0002054734,0.0009187759,0.006682471,0.005716858,0.002271864,0.003147583,0.002164476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002124888,"about_ca_system_score_gemma":0.0006739534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301681,"about_ca_topic_score_gemma":0.004947873,"domain_scores_codex":[0.9994323,0.0001969383,0.0000169322,0.0001166379,0.0001612947,0.00007587227],"domain_scores_gemma":[0.9989711,0.0004014485,0.00010498,0.0001650778,0.00019018,0.0001672062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004317181,0.00003014083,0.001886863,0.0000414852,0.00000944386,0.0004951814,0.00290202,0.000136164,0.0001944586,0.8609906,0.104427,0.02884342],"study_design_scores_gemma":[0.00002321596,0.00002426273,0.007637939,0.0001383941,0.000007533747,0.001060513,0.004298015,0.0005797279,0.0002018847,0.3740675,0.6119356,0.00002541447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1062599,0.009512249,0.002475488,0.2949288,0.001228131,0.00001075276,0.0004310418,0.00008747172,0.5850661],"genre_scores_gemma":[0.9200777,0.005675103,0.0006569033,0.02860601,0.001831655,0.00002328771,0.0001476285,0.0001036254,0.04287804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01692932,"threshold_uncertainty_score":0.05663425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06555451967684299,"score_gpt":0.2755323875074855,"score_spread":0.2099778678306425,"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."}}