{"id":"W3123448876","doi":"","title":"Poverty and Inequality: A Micro Framework","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Poverty; Inequality; Economics; Equity (law); Income inequality metrics; Context (archaeology); Economic inequality; Income distribution; Welfare; Public economics; Development economics; Econometrics; Demographic economics; Economic growth; Geography; Political science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005791271,0.0001376852,0.0002018123,0.0000689427,0.0009601801,0.0001826804,0.0003356193,0.0002528215,0.0002120686],"category_scores_gemma":[0.0009379372,0.000117215,0.00009849768,0.0002019575,0.0002130501,0.0003317567,0.00004994409,0.003499049,0.00003352981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506911,"about_ca_system_score_gemma":0.002247307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844643,"about_ca_topic_score_gemma":0.01932648,"domain_scores_codex":[0.9967195,0.000295237,0.0002892625,0.0002039089,0.0004095102,0.002082613],"domain_scores_gemma":[0.9991462,0.0001880616,0.0001580505,0.0001861,0.0001223125,0.0001993131],"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":[0.00002745053,0.00005505863,0.02360343,0.000003998044,0.00004243274,0.000001866646,0.003319797,7.805922e-8,0.0007421496,0.9587948,0.0005274898,0.01288141],"study_design_scores_gemma":[0.000299177,0.00009932012,0.003683734,0.00001184556,0.00001979731,0.0000603607,0.005400783,0.000004383045,0.00006853574,0.8911531,0.09898248,0.0002164786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688501,0.001143792,0.003605901,0.009177439,0.001375981,0.0001442955,0.000005382417,0.00006647209,0.01563058],"genre_scores_gemma":[0.991089,0.00307967,0.0004762709,0.001968463,0.001563597,0.000002288633,0.000001111081,0.00001520904,0.001804403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09845498,"threshold_uncertainty_score":0.9987999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490209947596356,"score_gpt":0.3062225870225969,"score_spread":0.2913204875466333,"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."}}