{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007701203,0.0001198753,0.0002152975,0.0007529599,0.000428972,0.000673376,0.0002712482,0.0003107553,0.003025115],"category_scores_gemma":[0.001904245,0.000107545,0.0002160434,0.0009570745,0.0003233631,0.0005858738,0.0006894647,0.0004377029,0.0002882921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838357,"about_ca_system_score_gemma":0.0003979468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01833805,"about_ca_topic_score_gemma":0.03909012,"domain_scores_codex":[0.9995716,0.00009074083,0.00001718314,0.00008697456,0.00007025114,0.0001632503],"domain_scores_gemma":[0.9988037,0.000269731,0.0004964672,0.00006702005,0.00009371283,0.0002693356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004589388,0.00002293146,0.9912475,0.00001086203,0.00002360219,0.00009472287,0.001602318,0.0000483169,0.000145078,0.0008041291,0.000493688,0.005460943],"study_design_scores_gemma":[0.000001415058,0.00002224303,0.9971014,0.00000950002,0.000008851328,0.00005622318,0.00169993,0.00004704249,0.00007084174,0.0001759106,0.0008043908,0.000002250289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949806,0.0008167675,0.00008558956,0.0004434486,0.00001709786,0.000003317044,0.0005420654,0.000003536111,0.0031075],"genre_scores_gemma":[0.9990268,0.000181533,0.00002422015,0.00004288515,0.00001073576,0.000001445068,0.0001866162,0.000001505576,0.0005244131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01833805,"threshold_uncertainty_score":0.0364626,"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."}}