{"id":"W7026805286","doi":"","title":"Are there nutrient-based poverty traps?","year":2014,"lang":"en","type":"report","venue":"International Food Policy Research Institute (International Food Policy Research Institute)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Fine Particle Research Institute; University of Ottawa; Inter-American Development Bank","keywords":"Poverty; Earnings; Human capital; Anemia; Outreach; Public health; Pill; Micronutrient","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.02682185,0.003586205,0.003392247,0.03773626,0.003665003,0.005258584,0.02162119,0.003607525,0.002293029],"category_scores_gemma":[0.08897109,0.003633145,0.002867446,0.01181435,0.009935829,0.005079057,0.00698405,0.01658999,0.016019],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.04111459,"about_ca_system_score_gemma":0.07128914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0646338,"about_ca_topic_score_gemma":0.03685254,"domain_scores_codex":[0.9280531,0.004431529,0.005085285,0.006121788,0.04780162,0.008506681],"domain_scores_gemma":[0.9431524,0.003203279,0.003212573,0.005894802,0.04014023,0.004396722],"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":[0.002375531,0.003349637,0.00144383,0.00100499,0.006496632,0.001178559,0.0003437929,0.001714203,0.0009966819,0.4111326,0.5652169,0.004746657],"study_design_scores_gemma":[0.006827525,0.002117797,0.002129202,0.004045559,0.00009979767,0.0007359037,0.0002443778,0.001217939,0.002213006,0.03098205,0.9465476,0.002839292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02279477,0.00194368,0.0008201822,0.1174995,0.02195362,0.008740788,0.04442282,0.001826967,0.7799976],"genre_scores_gemma":[0.847968,0.003350129,0.0005037011,0.00324238,0.07685508,0.003990218,0.01145853,0.001526969,0.05110498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8251733,"threshold_uncertainty_score":0.998619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3505756798387808,"score_gpt":0.5143004672538627,"score_spread":0.1637247874150819,"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."}}