{"id":"W7011433415","doi":"","title":"Macroeconomic determinants of Malaysia housing price / Nur Nadhirah Ahmad Tajudin","year":2022,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Residential property; Stock exchange; Unemployment rate; House price; Descriptive statistics; Stock (firearms)","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":[0.0001963434,0.000149348,0.0001017697,0.0003466113,0.0001690392,0.0008244982,0.0001116907,0.0001704858,0.003298919],"category_scores_gemma":[0.0008465702,0.00009957854,0.000171609,0.000478518,0.0001433282,0.0003651276,0.0002416481,0.000318278,0.0005046497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004848687,"about_ca_system_score_gemma":0.0004519788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980681,"about_ca_topic_score_gemma":0.02282948,"domain_scores_codex":[0.9998946,0.00002058874,0.00001113205,0.00001629359,0.00003602611,0.00002137391],"domain_scores_gemma":[0.9993851,0.00007480722,0.0003331417,0.00002180811,0.0001049348,0.00008021856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004047102,0.00007223208,0.9878286,0.00003415811,0.00004360048,0.0003003645,0.0002084501,0.0005882395,0.0002934287,0.0009523615,0.00156787,0.008070213],"study_design_scores_gemma":[0.000001174838,0.00002105945,0.9972332,0.00001357547,0.000008024114,0.00007759292,0.0003628604,0.0009374004,0.0001466074,0.0001165389,0.001078204,0.000003687453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916989,0.0006804995,0.0001272319,0.0005863272,0.00001839423,0.000008498273,0.0007700289,0.000006804229,0.006103331],"genre_scores_gemma":[0.9983507,0.0002760931,0.00005357915,0.00001492363,0.00001007295,0.000001919472,0.0002395693,0.000001225419,0.001051892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980681,"threshold_uncertainty_score":0.03938305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402302999818453,"score_gpt":0.2424298360131486,"score_spread":0.228406806014964,"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."}}