{"id":"W2900010669","doi":"","title":"A Meta-Analysis on the Economic Education Program for Young Children","year":2013,"lang":"en","type":"article","venue":"Early childhood education","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Psychology; Developmental psychology; Sociology; Economic growth; Mathematics education; Economics; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003447791,0.0001675908,0.0002323607,0.0003094575,0.0003387748,0.0007880842,0.0007430376,0.00005357688,0.0008497514],"category_scores_gemma":[0.00006786044,0.0001217749,0.0007741666,0.0004927073,0.00002700775,0.000549012,0.00003585777,0.000158065,0.000866569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220041,"about_ca_system_score_gemma":0.0009539507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095099,"about_ca_topic_score_gemma":0.00003909292,"domain_scores_codex":[0.9987383,0.0001463818,0.0003153557,0.0004399947,0.0001417093,0.0002182726],"domain_scores_gemma":[0.9984947,0.0001256488,0.000249286,0.0008540957,0.0001744853,0.0001018243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002192414,0.006407423,0.02302689,0.00001027008,0.05490371,1.561371e-8,0.03863506,0.000691092,0.00001109169,0.4038698,0.2444807,0.2279617],"study_design_scores_gemma":[0.00006294464,0.0001290289,0.984177,0.000003991576,0.006108584,0.000002732503,0.0002968209,0.000348948,0.00003083137,0.004667536,0.003986686,0.0001849047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039563,0.0006838984,0.01511435,0.06257683,0.002775243,0.00748285,0.00001366254,0.0005056162,0.006891279],"genre_scores_gemma":[0.9734629,0.000003290443,0.01103197,0.001526498,0.0003243914,0.007543921,0.0001005575,0.00001553453,0.005990944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9611501,"threshold_uncertainty_score":0.9999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730309741432341,"score_gpt":0.2960404554511953,"score_spread":0.2687373580368719,"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."}}