{"id":"W2471621520","doi":"10.1016/b978-0-444-63459-7.00001-4","title":"Behavioral Economics of Education","year":2016,"lang":"en","type":"book-chapter","venue":"Handbook of the economics of education","topic":"School Choice and Performance","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Toronto","funders":"","keywords":"Behavioral economics; Field (mathematics); Order (exchange); Behavioural economics; Behavioural sciences; Psychology; Engineering ethics; Positive economics; Management science; Economics; Sociology; Social science; Engineering","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":[0.0003162108,0.0001480102,0.0003147958,0.0001416099,0.0001049199,0.00001651388,0.0005364065,0.0002496306,0.0005043931],"category_scores_gemma":[0.00003237267,0.0001321735,0.0002101226,0.00001670101,0.0003522523,0.0002774612,0.00005217086,0.000109144,0.00003508269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904811,"about_ca_system_score_gemma":0.003978279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005390836,"about_ca_topic_score_gemma":0.001463513,"domain_scores_codex":[0.999037,0.00002207493,0.0005587992,0.0001878501,0.00007098124,0.0001233093],"domain_scores_gemma":[0.997776,0.00007614595,0.001347321,0.0004937807,0.0002465824,0.00006011775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009599623,0.0004159094,0.007792507,0.0002553798,0.0001390397,9.634709e-9,0.007612986,0.00003130603,0.0003548081,0.7598795,0.0171144,0.2063082],"study_design_scores_gemma":[0.0004367631,0.0001620853,0.001969187,0.002747245,0.0003332373,0.000001447742,0.001608864,0.000005040396,0.01172677,0.2538128,0.7265348,0.0006618318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2871214,0.001941018,0.000004485106,0.0008987774,0.005701122,0.00055002,0.0001149956,0.000008297932,0.7036599],"genre_scores_gemma":[0.2686586,0.01865733,0.0006324374,0.0002056323,0.003084584,0.00004349268,0.00005704584,0.00007148763,0.7085894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7094204,"threshold_uncertainty_score":0.7057297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429428774669564,"score_gpt":0.3065819968717604,"score_spread":0.2722877091250648,"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."}}