{"id":"W2888842633","doi":"10.5539/ijef.v10n9p114","title":"How to Reduce the Unemployment and the Poverty in Djibouti: Another Alternative","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Poverty; Government (linguistics); Order (exchange); Poverty rate; Economics; Structuring; Informal sector; Economic growth; Unemployment rate; Development economics; Labour economics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148989,0.0005239552,0.0005165662,0.00205959,0.0020629,0.002418835,0.0009958835,0.0009045389,0.004138024],"category_scores_gemma":[0.001942738,0.0001310908,0.0005721151,0.00184037,0.0008948833,0.001295267,0.001401773,0.0007455425,0.0004752736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673203,"about_ca_system_score_gemma":0.005134822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865279,"about_ca_topic_score_gemma":0.04674048,"domain_scores_codex":[0.9989055,0.0004125553,0.00006422387,0.0002034377,0.0002103467,0.0002040159],"domain_scores_gemma":[0.9993227,0.0001019496,0.0000990336,0.00005478499,0.0003021168,0.0001195274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000307689,0.0006646006,0.04605371,0.002504636,0.0002232831,0.000478525,0.003611148,0.01142477,0.003595795,0.1956646,0.03439296,0.7010782],"study_design_scores_gemma":[0.0002780465,0.0008698181,0.1754856,0.002774687,0.0003294474,0.001172403,0.02346307,0.03422014,0.006492502,0.1507503,0.6038804,0.0002835467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2991461,0.04321596,0.2772356,0.1456752,0.005245583,0.001865114,0.003849569,0.0006344563,0.2231324],"genre_scores_gemma":[0.7978489,0.01489541,0.1497189,0.003812152,0.0006567918,0.0006499496,0.0008435329,0.00005569563,0.03151855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865279,"threshold_uncertainty_score":0.05697203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585413617455862,"score_gpt":0.2273110789261057,"score_spread":0.2114569427515471,"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."}}