{"id":"W2922061234","doi":"10.3390/soc9010019","title":"Policy Coherence and Social Protection in Ethiopia: Ensuring No One Is Left Behind","year":2019,"lang":"en","type":"article","venue":"Societies","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"United States Agency for International Development","keywords":"Coherence (philosophical gambling strategy); Government (linguistics); Set (abstract data type); Social protection; Resource (disambiguation); Public economics; Political science; Public relations; Economic growth; Economics; Computer science","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":[0.05433053,0.0003281654,0.0005716812,0.001565335,0.01572025,0.01212434,0.001358575,0.003630432,0.002136843],"category_scores_gemma":[0.03537014,0.0004947999,0.0003283472,0.001822231,0.02372319,0.007292591,0.01139017,0.004285415,0.000110055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01913343,"about_ca_system_score_gemma":0.0433401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00836819,"about_ca_topic_score_gemma":0.0090849,"domain_scores_codex":[0.9365202,0.05326688,0.001687823,0.001291677,0.002361906,0.004871593],"domain_scores_gemma":[0.965784,0.02337791,0.004640349,0.001360278,0.002233285,0.002604282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001304311,0.0004079296,0.02063572,0.0006909589,0.00007507778,0.001050179,0.5659813,0.001990255,0.001597368,0.3812456,0.00156337,0.02463183],"study_design_scores_gemma":[0.00007771494,0.0002686713,0.01308709,0.001357174,0.0000616823,0.0003177282,0.8440401,0.001438932,0.001603215,0.08022912,0.05741136,0.0001072823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144137,0.001682851,0.00734083,0.03687524,0.0001446483,0.0003525427,0.00004593634,0.00001842301,0.03912585],"genre_scores_gemma":[0.9971444,0.0001967716,0.001250721,0.0008458405,0.000006290687,0.0000715588,0.000004422702,0.000002781529,0.0004771628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05433053,"threshold_uncertainty_score":0.2873307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161087541534527,"score_gpt":0.2837458423019479,"score_spread":0.2621349668866026,"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."}}