{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006406554,0.0008971244,0.000648609,0.001148585,0.0005039083,0.002503617,0.0006902046,0.001419204,0.03393696],"category_scores_gemma":[0.001466091,0.0003595419,0.0002871398,0.001373698,0.001864925,0.002307111,0.0007546106,0.002800205,0.01250461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181012,"about_ca_system_score_gemma":0.002330126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004581467,"about_ca_topic_score_gemma":0.007995718,"domain_scores_codex":[0.999705,0.0001019383,0.00001041433,0.00004047254,0.0001190653,0.00002317719],"domain_scores_gemma":[0.9995623,0.0002321526,0.00002178882,0.00005643321,0.00009299633,0.00003432454],"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":[0.00000754338,0.00004936873,0.0001787484,0.0001231799,0.00000988539,0.00001689204,0.0001680139,0.0006011716,0.0001539254,0.7024559,0.2001407,0.09609453],"study_design_scores_gemma":[0.00000368416,0.000007462464,0.0004561117,0.0002328133,0.000003529465,0.00005073387,0.00007257027,0.0003586209,0.00005543145,0.3802079,0.6185436,0.000007483552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001095386,0.1451087,0.0291147,0.01631529,0.002395948,0.00005681285,0.0007274695,0.0002369802,0.8049487],"genre_scores_gemma":[0.04967029,0.1772362,0.02315396,0.007378691,0.003324338,0.0002210458,0.00110641,0.0002548174,0.7376543],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03393696,"threshold_uncertainty_score":0.1135304,"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."}}