{"id":"W7111803823","doi":"","title":"A study on relationship between inflation rate, interest rate and population growth towards housing price in Malaysia","year":2018,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Quarter (Canadian coin); Interest rate; Population; Population growth; House price; Real interest rate","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":[0.0008584437,0.0006871709,0.0006948826,0.002559283,0.000641451,0.0002208735,0.0004314436,0.0008795912,0.00007166133],"category_scores_gemma":[0.001240153,0.0007728266,0.0001006051,0.001640457,0.0006439809,0.000937958,0.0004062628,0.0007495796,0.0004101413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002046165,"about_ca_system_score_gemma":0.0004093154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683683,"about_ca_topic_score_gemma":0.000993301,"domain_scores_codex":[0.9963556,0.0008361606,0.0005918009,0.001142635,0.000568566,0.0005052481],"domain_scores_gemma":[0.9976963,0.0004506994,0.0008591108,0.0005570401,0.0002828552,0.0001539681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003700294,0.0002169202,0.9478114,0.00008853359,0.0002215011,0.0005186083,0.0004999809,0.0001575799,0.00006154044,0.04438995,0.005556695,0.0001072845],"study_design_scores_gemma":[0.001561252,0.0005089925,0.9891798,0.000703144,0.0002228755,0.00003758164,0.0009690811,0.00007956718,0.00003134017,0.001368632,0.004565073,0.000772587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8464838,0.00005253562,0.0002960233,0.0001264436,0.001064932,0.001448246,0.0001647958,0.0006911554,0.1496721],"genre_scores_gemma":[0.9750407,0.000008817226,0.0004629293,0.00001900028,0.001008641,0.00002823726,0.0008227644,0.0002753215,0.02233353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.128557,"threshold_uncertainty_score":0.9994723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05478364133684414,"score_gpt":0.2841038893617833,"score_spread":0.2293202480249391,"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."}}