{"id":"W6976478350","doi":"10.60692/67cyh-4a870","title":"Nexus between Macroeconomic Factors and Economic Growth in Malaysia: An Autoregressive Distributed Lag Approach","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Distributed lag; Quarter (Canadian coin); Autoregressive model; Lag; Yield (engineering); Real gross domestic product; Stability (learning theory)","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":[0.001037399,0.0001497735,0.0002619983,0.0003939458,0.0002680331,0.0002874949,0.0003657562,0.0002942931,0.00002607124],"category_scores_gemma":[0.00006977857,0.0001331257,0.00004119339,0.0002267706,0.000145915,0.001749652,0.0001355966,0.0002352053,0.0004901724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837196,"about_ca_system_score_gemma":0.0001175923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008001669,"about_ca_topic_score_gemma":0.000005705792,"domain_scores_codex":[0.9984599,0.0002016308,0.0004613859,0.0002015535,0.000223675,0.000451798],"domain_scores_gemma":[0.9993052,0.0000412699,0.0002168539,0.0001676629,0.00004765212,0.0002213149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006466029,4.204964e-7,0.8645247,0.00005501179,0.00001482939,0.000001436406,0.1335216,0.0001833323,3.43593e-8,0.001420475,0.0002134912,0.00005824666],"study_design_scores_gemma":[0.0006367092,0.0000240973,0.7645253,0.00004264215,0.00001027887,0.000001820095,0.2249995,0.009063674,0.00002642418,0.0000364516,0.0003902341,0.0002428259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991236,9.91454e-7,0.0004112337,0.0001226142,0.0001701214,0.0004461434,0.0005248738,0.0002448305,0.006843205],"genre_scores_gemma":[0.9994839,0.000001166536,0.00002403962,0.00001325813,0.0001425116,0.00004795841,0.0001970788,0.000007881416,0.00008215434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09999938,"threshold_uncertainty_score":0.6300338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06733831566703537,"score_gpt":0.2871584372443681,"score_spread":0.2198201215773328,"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."}}