{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001442229,0.0001456388,0.000276864,0.00004796448,0.002150698,0.001449464,0.00106534,0.00008836269,0.0002318765],"category_scores_gemma":[0.0003339739,0.0001037445,0.0001529195,0.00003270602,0.0002339682,0.0005197088,0.0004421189,0.0002501498,0.001294138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239304,"about_ca_system_score_gemma":0.00004277052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005787761,"about_ca_topic_score_gemma":0.0006638175,"domain_scores_codex":[0.9986448,0.0000156422,0.0005296455,0.0003143507,0.00004856818,0.0004469853],"domain_scores_gemma":[0.9983767,0.00004784891,0.0005379196,0.0008976707,0.00002673973,0.0001130817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004513475,0.0001567664,0.3302428,0.00005780099,0.000283944,0.0000868221,0.0009008957,0.00005171922,0.0001240273,0.4150392,0.05914957,0.1934551],"study_design_scores_gemma":[0.0008209635,0.00007749532,0.1443401,0.00002526712,0.00001275279,0.00003549242,0.00005875017,0.001807949,0.000150948,0.1537737,0.6984086,0.0004879582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2089912,0.0003698793,0.000364219,0.006031024,0.002581872,0.0001769273,0.00002804497,0.00004499949,0.7814118],"genre_scores_gemma":[0.9898647,0.0007806313,0.0001290165,0.0001984695,0.0006710927,0.000009389096,0.000001952408,0.00002556467,0.008319158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7808735,"threshold_uncertainty_score":0.9995871,"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."}}