{"id":"W2277947026","doi":"10.3386/w19331","title":"Leaving Boys Behind: Gender Disparities in High Academic Achievement","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"School Choice and Performance","field":"Social Sciences","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Academic achievement; Psychology; Demographic economics; Developmental psychology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01114443,0.0001717311,0.0003935374,0.0009006757,0.0003389249,0.0001132652,0.0008447803,0.0006804354,0.001724484],"category_scores_gemma":[0.001347756,0.0001821889,0.0001033231,0.0001654192,0.0004135671,0.0005910196,0.0001998445,0.001844424,0.0004093682],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550674,"about_ca_system_score_gemma":0.007124319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1147893,"about_ca_topic_score_gemma":0.01684576,"domain_scores_codex":[0.9951528,0.0003236013,0.0007443373,0.0004400567,0.002673143,0.000666056],"domain_scores_gemma":[0.9973891,0.0009719521,0.0002798303,0.000204619,0.001011237,0.0001432297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004294469,0.0001087758,0.2640072,0.0003550506,0.0001487407,0.000003566804,0.00238403,0.0005064839,0.00003219251,0.3201717,0.4086149,0.003624414],"study_design_scores_gemma":[0.0007393039,0.00007904998,0.2384083,0.0004173592,0.0000171802,0.000002871227,0.001697968,0.0001444383,0.00008062472,0.4435191,0.3142387,0.0006551055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1546467,0.002185778,8.858103e-7,0.005061363,0.001146577,0.0008443893,0.0000783084,0.00002248102,0.8360136],"genre_scores_gemma":[0.9394352,0.01448761,0.00006120068,0.00006947687,0.003853524,0.0002448303,0.000228679,0.00002995154,0.04158949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7944241,"threshold_uncertainty_score":0.9991881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.477459652016329,"score_gpt":0.5558339300008345,"score_spread":0.07837427798450547,"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."}}