{"id":"W7133123628","doi":"10.5281/zenodo.18820306","title":"The Informal Economy and GDP in Côte d'Ivoire: Implications for Policy","year":2005,"lang":"en","type":"article","venue":"Open MIND","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Informal sector; Financial inclusion; Government (linguistics); Payment; Agriculture; Microfinance; Economic sector; Inclusion (mineral)","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":[0.001018074,0.0003612498,0.0003678728,0.001925611,0.0006016842,0.002400623,0.0004083445,0.0004673376,0.005863915],"category_scores_gemma":[0.004211664,0.0001423162,0.000231623,0.004021537,0.001196821,0.001208394,0.001362482,0.0007277535,0.0001473785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01161302,"about_ca_system_score_gemma":0.00837182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3520097,"about_ca_topic_score_gemma":0.3199654,"domain_scores_codex":[0.9993712,0.0002425196,0.00003150959,0.00004485194,0.00007057331,0.0002394976],"domain_scores_gemma":[0.9977065,0.0009634937,0.000487235,0.00005058831,0.0003998179,0.0003921889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002397579,0.0001842554,0.6545854,0.002205583,0.0001926893,0.004027491,0.00771615,0.01344293,0.00125877,0.2024594,0.01115811,0.1025295],"study_design_scores_gemma":[0.00004332513,0.00006783983,0.8768501,0.003154452,0.00007270936,0.0004340447,0.02823391,0.004682343,0.0003568284,0.01775602,0.06830064,0.00004768947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789702,0.04191519,0.001433013,0.03671142,0.0002095515,0.000079594,0.002440686,0.00004080895,0.0381995],"genre_scores_gemma":[0.9826217,0.01260477,0.0006405645,0.0003349039,0.0000256348,0.00004231215,0.000409735,0.000009159086,0.003311266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3520097,"threshold_uncertainty_score":0.6999215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07352651818534192,"score_gpt":0.3096170631449965,"score_spread":0.2360905449596546,"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."}}