{"id":"W2153296871","doi":"10.2139/ssrn.1301064","title":"Testing for Poverty Dominance: An Application to Canada","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Statistics Canada","funders":"","keywords":"Poverty; Dominance (genetics); Economics; Political science; Economic growth; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008858673,0.0006913728,0.001481764,0.002131202,0.004838827,0.001613944,0.002180247,0.001071032,0.008173254],"category_scores_gemma":[0.04525892,0.0002611839,0.001206785,0.007109911,0.001612619,0.001268121,0.002391616,0.001550525,0.0002907371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0145193,"about_ca_system_score_gemma":0.05348607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775314,"about_ca_topic_score_gemma":0.9855827,"domain_scores_codex":[0.9957035,0.001872338,0.0001420433,0.0005361435,0.0009641235,0.0007817679],"domain_scores_gemma":[0.9727788,0.01849825,0.0009297933,0.001087882,0.005164671,0.001540601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001107801,0.000426942,0.6242948,0.0004197104,0.0008746595,0.001016403,0.003626138,0.02396042,0.0005855393,0.08765528,0.06430045,0.1917318],"study_design_scores_gemma":[0.001522272,0.0006592044,0.5315436,0.0004661046,0.001203182,0.0007249948,0.02010572,0.2981764,0.001882659,0.08448666,0.05894891,0.0002803275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919237,0.002415622,0.03377857,0.01109013,0.0003165828,0.0007645892,0.01100474,0.0006066966,0.04809938],"genre_scores_gemma":[0.9639022,0.0004987311,0.02781394,0.0005305816,0.00003730042,0.0002161899,0.001144037,0.00006824289,0.005788779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02246857,"threshold_uncertainty_score":0.1053454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226267268142567,"score_gpt":0.2972684112055962,"score_spread":0.2750057385241705,"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."}}