{"id":"W1526578692","doi":"","title":"Poverty in St Lucia: A Wealth of Responses","year":2012,"lang":"en","type":"article","venue":"Caribbean dialogue","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Economic growth; Scale (ratio); Basic needs; Extreme poverty; Political science; Geography; Development economics; Economics; Cartography","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":[0.0009990899,0.0000854171,0.0001764688,0.00010282,0.0002019791,0.00001575736,0.0002141484,0.0001093885,0.0001588966],"category_scores_gemma":[0.0006719553,0.00008278146,0.00005990345,0.0003325342,0.0001575779,0.0002563076,0.00002027141,0.0001111858,0.00002305111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624243,"about_ca_system_score_gemma":0.0005755672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01504875,"about_ca_topic_score_gemma":0.02862338,"domain_scores_codex":[0.9986454,0.0003614853,0.0002120065,0.0001343408,0.0002341682,0.0004125617],"domain_scores_gemma":[0.9992256,0.0002441606,0.00009325618,0.0001996954,0.0000635891,0.0001737606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005829103,0.0003387416,0.8245565,0.00002589192,0.0000148241,0.000001272252,0.08420409,0.000001092047,0.00004653746,0.05175622,0.03533439,0.003662156],"study_design_scores_gemma":[0.0003350207,0.00002610366,0.6993266,0.00002943193,0.00001307589,7.160347e-7,0.01059229,9.707876e-7,0.000177012,0.001869947,0.2874617,0.0001670536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100692,0.002604529,0.000017424,0.00465412,0.001839787,0.0003331212,0.0002623995,0.00005636095,0.08016306],"genre_scores_gemma":[0.9974099,0.0004442717,0.00005892691,0.0005637582,0.0005879136,0.000008261137,0.00003078873,0.000009116787,0.0008870814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2521273,"threshold_uncertainty_score":0.9915101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483971097452839,"score_gpt":0.3003117968988208,"score_spread":0.2754720859242923,"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."}}