{"id":"W7160466862","doi":"","title":"A study on macroeconomic factors that affect household debt in Malaysia","year":2018,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debt; Quarter (Canadian coin); Household debt; Gross domestic product; Interest rate; Affect (linguistics); Product (mathematics); Real gross domestic product","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":[0.0003573651,0.000133983,0.0001327587,0.0006311171,0.0002351056,0.0008319435,0.0001128004,0.0002059856,0.001708415],"category_scores_gemma":[0.001178726,0.0001106066,0.0002424933,0.001082702,0.0001418604,0.0004182561,0.0003032954,0.0003797367,0.0002661673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837741,"about_ca_system_score_gemma":0.000532331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665799,"about_ca_topic_score_gemma":0.02017758,"domain_scores_codex":[0.9998533,0.00003780146,0.00002188415,0.00001904308,0.00002658261,0.00004142456],"domain_scores_gemma":[0.9991215,0.0001478683,0.0004746577,0.00002646999,0.0001085176,0.0001210554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001795331,0.00003830925,0.9959339,0.00001983705,0.00002222275,0.0001492959,0.0002916745,0.00009617287,0.00008136795,0.0001274507,0.0002452735,0.002976451],"study_design_scores_gemma":[6.672004e-7,0.00001959872,0.9978647,0.00002169246,0.00001016007,0.00006526206,0.001169729,0.0002184039,0.00005640349,0.00003330762,0.0005381861,0.000002019939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972485,0.0004016826,0.00003794553,0.0002014195,0.000004570006,0.00000638286,0.0003406226,0.000001288705,0.001757656],"genre_scores_gemma":[0.9985617,0.0004172542,0.00004279289,0.00002495528,0.000007390377,0.000003395152,0.0003048763,6.269066e-7,0.0006370062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01665799,"threshold_uncertainty_score":0.03312212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044368816726469,"score_gpt":0.2565748943855217,"score_spread":0.216131206218257,"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."}}