{"id":"W2981863111","doi":"10.5539/ass.v15n11p116","title":"Demographic Issues in Malaysia","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Malay; Ethnic group; Fertility; Total fertility rate; Population; Demography; Birth rate; Socioeconomics; Population ageing; Geography; Family planning; Sociology; Research methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001634143,0.0001054689,0.0001690966,0.0003775644,0.000715513,0.0002121081,0.0008188782,0.0001007894,0.0005127792],"category_scores_gemma":[0.00006064757,0.0001021136,0.00007664781,0.00388779,0.001504481,0.0006213833,0.00007691802,0.000166294,0.0001661808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005898151,"about_ca_system_score_gemma":0.000278667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700463,"about_ca_topic_score_gemma":0.003040726,"domain_scores_codex":[0.9978204,0.0001365021,0.000176489,0.0003539659,0.0008330863,0.0006795772],"domain_scores_gemma":[0.999541,0.00003082835,0.00006688688,0.000150989,0.0000690805,0.000141209],"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":[0.00000430671,0.00004763117,0.3574825,0.00000405021,0.000003950533,0.000002928839,0.05060771,2.449793e-7,0.0002114558,0.3682951,0.0003956159,0.2229445],"study_design_scores_gemma":[0.0001712559,0.00002620444,0.8949789,0.00001248981,0.00000304281,3.500789e-7,0.03460979,0.000004329655,0.00001999142,0.03074125,0.0392244,0.0002079452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.370027,0.00008904369,0.00000362285,0.00373405,0.0003434489,0.0001294894,0.000001354412,0.00005898824,0.625613],"genre_scores_gemma":[0.9975173,0.00007235455,0.0001159061,0.0001631364,0.0001643345,0.000008791681,6.947836e-7,0.000005222318,0.00195224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6274903,"threshold_uncertainty_score":0.5614572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069726262218841,"score_gpt":0.3157786569804457,"score_spread":0.2950813943582573,"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."}}