{"id":"W4255830986","doi":"10.32920/ryerson.14649864","title":"Informal Economies and International Trade","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Informal sector; Clothing; Work (physics); Production (economics); Economics; Turkish; Developing country; Labour economics; Comparative advantage; Descriptive statistics; Business; International economics; International trade; Market economy; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005530079,0.0002940292,0.0002690571,0.001488159,0.001290551,0.003063112,0.0003273399,0.0006633713,0.01810744],"category_scores_gemma":[0.001711852,0.00008743427,0.0002652978,0.002460722,0.002661018,0.002265751,0.002092113,0.000612832,0.0007663183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765514,"about_ca_system_score_gemma":0.0009644401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003154604,"about_ca_topic_score_gemma":0.002785556,"domain_scores_codex":[0.9995141,0.0001474057,0.00002748535,0.00006860477,0.0001068323,0.0001355343],"domain_scores_gemma":[0.9991449,0.0002834355,0.0002883194,0.0001055305,0.00009618179,0.00008148514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001457023,0.00001661588,0.003324258,0.00007460339,0.00001043686,0.0001516427,0.001251222,0.001363856,0.00009576653,0.9674593,0.002178417,0.02405934],"study_design_scores_gemma":[0.00003276471,0.00006004628,0.0171219,0.0005761681,0.00002165621,0.0005673598,0.004748476,0.002086255,0.0001779503,0.6736189,0.3009627,0.00002583174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1753104,0.01777644,0.007266745,0.006122648,0.000181186,0.00005663382,0.0003428038,0.00006698255,0.7928761],"genre_scores_gemma":[0.9697318,0.007434878,0.001091901,0.0003421075,0.0001116461,0.00003212072,0.0001243763,0.00001044883,0.02112064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01810744,"threshold_uncertainty_score":0.06057543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05625269815817497,"score_gpt":0.2417288850786194,"score_spread":0.1854761869204444,"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."}}