{"id":"W3089212284","doi":"10.21474/ijar01/11616","title":"UNRAVELING THE ECONOMIC DISPARITIES AND SIMILARITIES: THE CASE OF CANADA AND BANGLADESH","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Political science; Geography; Sociology; Economic growth; Regional science; Development economics; Economics","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":[0.001065166,0.000235145,0.0005650734,0.00304549,0.01206917,0.004983785,0.001014706,0.001168511,0.003224183],"category_scores_gemma":[0.003593524,0.0001681271,0.0002841845,0.008448155,0.006672426,0.002603069,0.004206584,0.002370078,0.0001355217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04536729,"about_ca_system_score_gemma":0.03815265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982619,"about_ca_topic_score_gemma":0.9913592,"domain_scores_codex":[0.9987335,0.0002096165,0.00002586941,0.00007829165,0.0002459386,0.0007067853],"domain_scores_gemma":[0.9984402,0.0003874164,0.0002291067,0.00005769343,0.0004774288,0.0004082014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002258387,0.0001310255,0.2151587,0.0003009849,0.00009484459,0.01337886,0.1898706,0.003379841,0.0008459721,0.4843343,0.01060701,0.08167195],"study_design_scores_gemma":[0.00005289577,0.00004787999,0.2666679,0.000665942,0.000116118,0.00123847,0.6075298,0.002402582,0.0004421481,0.03534015,0.08536024,0.0001357769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909005,0.002989625,0.000258398,0.008975145,0.00002373197,0.00003935107,0.0003161877,0.000005959918,0.07838671],"genre_scores_gemma":[0.994848,0.00177932,0.0002080641,0.0002790317,0.000004891253,0.00000867329,0.00009413741,0.000005114056,0.002772884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04536729,"threshold_uncertainty_score":0.3291643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0901265466638003,"score_gpt":0.2961578347113448,"score_spread":0.2060312880475445,"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."}}