{"id":"W4402391213","doi":"10.23889/ijpds.v9i5.2614","title":"Poverty and Intellectual Development in Childhood.","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Poverty; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605355,0.0003336011,0.0002971916,0.002550364,0.00123346,0.001114701,0.0005521715,0.0002611886,0.003008568],"category_scores_gemma":[0.006510901,0.0001516125,0.0004081735,0.00494174,0.000797781,0.0004858685,0.00139321,0.0005343973,0.0001717213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005597277,"about_ca_system_score_gemma":0.006821761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.651006,"about_ca_topic_score_gemma":0.7076232,"domain_scores_codex":[0.9985189,0.0003642808,0.00009867049,0.0001430847,0.000513461,0.0003615452],"domain_scores_gemma":[0.9971616,0.0006150943,0.001156261,0.0001336446,0.0005546274,0.00037878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004768067,0.00002958384,0.9791794,0.0001425979,0.0001173124,0.00007467504,0.0005625694,0.0002212738,0.00002923349,0.0007179967,0.00091553,0.01796203],"study_design_scores_gemma":[0.000001396947,0.0000148189,0.9968797,0.00006684197,0.00002976304,0.00004804549,0.000634588,0.0000769141,0.0000492408,0.0002000382,0.001995888,0.00000270937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501091,0.01577233,0.00082443,0.00231034,0.00005912811,0.0001117942,0.01912723,0.00002105165,0.01166464],"genre_scores_gemma":[0.9906285,0.003675857,0.0005865698,0.0001144827,0.00001870182,0.00007949089,0.003408959,0.000004142477,0.00148326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.651006,"threshold_uncertainty_score":0.7020986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05686276432627089,"score_gpt":0.4110280527889851,"score_spread":0.3541652884627142,"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."}}