{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01891829,0.0008519718,0.0008337279,0.00530017,0.003778132,0.01012262,0.003076975,0.002510829,0.0051477],"category_scores_gemma":[0.04756567,0.0003617564,0.0004218251,0.006415418,0.004783612,0.005807403,0.005746251,0.005369822,0.0005015018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01977144,"about_ca_system_score_gemma":0.01529328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3866847,"about_ca_topic_score_gemma":0.4570614,"domain_scores_codex":[0.9926449,0.005054253,0.0003827901,0.0002856349,0.000895611,0.0007367429],"domain_scores_gemma":[0.9758981,0.01454073,0.001235606,0.0009518132,0.006539702,0.0008341201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002184215,0.0001326144,0.05909252,0.002504929,0.0001225155,0.002916694,0.1229722,0.005617077,0.0008993223,0.2834878,0.2955873,0.2264487],"study_design_scores_gemma":[0.00003411912,0.00007688034,0.06081362,0.007523486,0.00006374327,0.0005012066,0.3097982,0.002783633,0.001328427,0.08818265,0.528582,0.0003121077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1040474,0.03145299,0.006549679,0.7890934,0.004039098,0.000183807,0.001993364,0.0002316537,0.0624084],"genre_scores_gemma":[0.841962,0.03685287,0.02222073,0.0681273,0.003468317,0.0004770534,0.002094236,0.0005616412,0.02423588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3866847,"threshold_uncertainty_score":0.7688679,"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."}}