{"id":"W1897772435","doi":"","title":"Interpreting HDR Poverty Figures for Trinidad and Tobago: Some Important Lessons","year":2012,"lang":"en","type":"article","venue":"Caribbean dialogue","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Statistic; Context (archaeology); Government (linguistics); Development economics; Basic needs; Measure (data warehouse); Economics; Political science; Geography; Economic growth; Statistics; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001889847,0.000168588,0.0002953459,0.00005664991,0.0005845939,0.0001059949,0.0002261073,0.0001863179,0.00005464757],"category_scores_gemma":[0.001544867,0.0001495345,0.000144486,0.0001061404,0.0002170946,0.0005190622,0.00008816792,0.0001539953,0.00001205347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308386,"about_ca_system_score_gemma":0.000126964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002699378,"about_ca_topic_score_gemma":0.001811596,"domain_scores_codex":[0.9982453,0.0002052327,0.0003560286,0.0002588832,0.0002358557,0.0006986859],"domain_scores_gemma":[0.9987696,0.0004933354,0.0001554013,0.0002161791,0.00008233819,0.0002831127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009381696,0.0001721247,0.1226474,0.00009764096,0.00007669609,0.000003396382,0.04215752,8.668498e-7,0.0005822899,0.7810133,0.04695924,0.006195802],"study_design_scores_gemma":[0.001959604,0.0002750913,0.07312438,0.0001566821,0.0001836075,0.000005567435,0.01983601,0.0001595285,0.001827408,0.04556073,0.8555205,0.001390896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981348,0.007528323,0.0008702232,0.01095611,0.007279312,0.00182585,0.00126955,0.0004228537,0.07171302],"genre_scores_gemma":[0.9954553,0.0002997419,0.0001828063,0.001827965,0.001594679,0.00004221655,0.00005900999,0.00001967446,0.0005186168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8085613,"threshold_uncertainty_score":0.6097841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666609151019952,"score_gpt":0.3340770197627262,"score_spread":0.2874109282525267,"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."}}