{"id":"W3146869645","doi":"10.3386/w20609","title":"Behavioral Economics of Education: Progress and Possibilities","year":2014,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"School Choice and Performance","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Behavioral economics; Psychology; Economics; Data science; Computer science; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003266954,0.00009784129,0.0002629734,0.0003530114,0.00017135,0.00009538641,0.0004711472,0.0002631278,0.0002366228],"category_scores_gemma":[0.0001875994,0.0001096083,0.00007118839,0.00005733159,0.001144988,0.0001971049,0.0002557836,0.0003946732,0.00001648011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276167,"about_ca_system_score_gemma":0.004956535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005300174,"about_ca_topic_score_gemma":0.002104258,"domain_scores_codex":[0.9985062,0.0001951025,0.000417054,0.0003048497,0.0003599453,0.0002168584],"domain_scores_gemma":[0.9981888,0.0003993702,0.0002494628,0.0002225583,0.000841115,0.00009872716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006458745,0.0002010587,0.0719109,0.0003524146,0.00005166588,7.254857e-8,0.005220682,0.0002830331,0.0000051974,0.8986216,0.00650173,0.01678711],"study_design_scores_gemma":[0.0002464062,0.0001074105,0.01123564,0.0001622519,0.00001244866,8.175033e-7,0.003007617,0.0003615824,0.0001747219,0.9723318,0.01214197,0.0002173554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9001091,0.0007593042,3.288669e-7,0.001523366,0.00046852,0.0003638046,0.00004613625,0.000007210134,0.09672229],"genre_scores_gemma":[0.9953377,0.0007965898,0.0003544303,0.00001482757,0.001098261,0.00009012889,0.0000705862,0.000009677353,0.002227773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09522869,"threshold_uncertainty_score":0.8792681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3310471923734356,"score_gpt":0.5674679268833135,"score_spread":0.2364207345098779,"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."}}