{"id":"W3208209257","doi":"","title":"The relationship of price of main commodities of Malaysia towards its GDP growth / Adi Zakwan Salimin","year":2018,"lang":"en","type":"article","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distributed lag; Economics; Short run; Real gross domestic product; Error correction model; Cointegration; Econometrics; Palm oil; Quarter (Canadian coin); Proxy (statistics); Autoregressive model; Growth rate; Order (exchange); Monetary economics; Mathematics; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006855393,0.000137462,0.0003495014,0.0002146539,0.0004114876,0.00002107242,0.0004547393,0.0001655275,0.00007400842],"category_scores_gemma":[0.0007412662,0.0001383766,0.0001419687,0.0004616292,0.001290477,0.0003172855,0.0001597238,0.000158738,0.000005645606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942072,"about_ca_system_score_gemma":0.0001739086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003636607,"about_ca_topic_score_gemma":0.00006761507,"domain_scores_codex":[0.9987676,0.00005478076,0.0005972786,0.0002505601,0.0001224078,0.0002073632],"domain_scores_gemma":[0.9980676,0.0004070557,0.0007219936,0.0003713896,0.0003846921,0.00004730596],"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":[0.0001287002,0.00005169147,0.2011113,0.00006851128,0.00007288699,0.000003421327,0.0003211447,0.00001845044,0.00008182523,0.7978119,0.0002626891,0.00006747228],"study_design_scores_gemma":[0.0006285927,0.0004200843,0.8599852,0.00008881458,0.00003755714,0.00002748856,0.001037729,0.009548793,0.001174995,0.1189615,0.00778772,0.000301564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9055948,0.0003887359,0.002652552,0.000482105,0.0008273135,0.000180373,0.0006495807,0.00002005094,0.08920453],"genre_scores_gemma":[0.9974267,0.00009794778,0.0008544083,0.00001259852,0.00009605009,0.000003420712,0.00003025026,0.000006894718,0.001471702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6788505,"threshold_uncertainty_score":0.5642833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284035586619101,"score_gpt":0.2218732580343375,"score_spread":0.1890329021681464,"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."}}