{"id":"W2097176971","doi":"","title":"Multidimensional Poverty and Material Deprivation","year":2009,"lang":"en","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Poverty; Inequality; Contrast (vision); Class (philosophy); Econometrics; Relative deprivation; European union; Feature (linguistics); Economics; Mathematics; Psychology; Demographic economics; Social psychology; Computer science; Artificial intelligence; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002974305,0.0001235069,0.0001364389,0.00007700266,0.006067527,0.00004408324,0.0001307463,0.0001440658,0.00007076428],"category_scores_gemma":[0.00007996491,0.0001295485,0.00006659422,0.000128574,0.0002086331,0.0004465861,0.00006545586,0.00009887246,0.00001823687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580611,"about_ca_system_score_gemma":0.0004470028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0273449,"about_ca_topic_score_gemma":0.002165941,"domain_scores_codex":[0.998733,0.0001396052,0.0001674837,0.0002541603,0.000442505,0.0002632227],"domain_scores_gemma":[0.9994098,0.00005131082,0.00009584262,0.0001353121,0.0001170739,0.0001906365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009225267,0.0003618863,0.06576938,0.00002087496,0.00008069346,0.0004462773,0.05045531,0.000153996,0.05285347,0.810017,0.006088633,0.01282994],"study_design_scores_gemma":[0.001725081,0.0001687581,0.5973867,0.00005469035,0.00007713401,0.0001376541,0.01386056,0.0006864792,0.009618075,0.006516891,0.3691244,0.0006435456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383441,0.0005057996,0.000173577,0.002010097,0.0005469412,0.0001582157,0.000019126,0.0001033779,0.0581388],"genre_scores_gemma":[0.9929075,0.0001428449,0.0007779675,0.0009391759,0.0002478295,0.000001749135,0.00002286741,0.000004249395,0.004955786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8035001,"threshold_uncertainty_score":0.9952264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009334907572234274,"score_gpt":0.2055946314522434,"score_spread":0.1962597238800091,"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."}}