{"id":"W7048627256","doi":"","title":"Malaysia housing price and its economic factors / Fatin Syahira Mastor","year":2019,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Gross domestic product; Population; Product (mathematics); Insignificance; Control (management); Economic indicator; Price level; Price index; Quarter (Canadian coin)","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":[0.0003067784,0.0002407069,0.0001369161,0.0009569802,0.0002598538,0.001059279,0.0001257066,0.0001544224,0.005741113],"category_scores_gemma":[0.001248175,0.0001053245,0.0002561195,0.001606403,0.0001829221,0.0005713669,0.0002861335,0.0003393979,0.0008977383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713097,"about_ca_system_score_gemma":0.0007410326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995511,"about_ca_topic_score_gemma":0.02116021,"domain_scores_codex":[0.9997944,0.00003434673,0.00002524541,0.00002940878,0.00009137186,0.00002515735],"domain_scores_gemma":[0.9990952,0.0001554167,0.0004304632,0.00003513548,0.0002054288,0.00007837126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005452342,0.00006381806,0.9693701,0.0001161408,0.00005403657,0.0002658959,0.0004258938,0.0003774934,0.0002009043,0.001087275,0.004326974,0.02365696],"study_design_scores_gemma":[0.000001522144,0.00003452329,0.9919228,0.00006589135,0.00001868708,0.0002193084,0.0008902037,0.0009647108,0.0002639857,0.0001941562,0.005415905,0.000008375986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723043,0.002392808,0.0003270925,0.00104782,0.00007112687,0.00002151467,0.003608595,0.00001952882,0.02020726],"genre_scores_gemma":[0.9931461,0.001300077,0.0002522131,0.00003755723,0.00004215966,0.00000829789,0.001244875,0.000004603181,0.003964299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995511,"threshold_uncertainty_score":0.03967792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007789638561532538,"score_gpt":0.1956718615838679,"score_spread":0.1878822230223354,"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."}}