{"id":"W2892010555","doi":"","title":"Leaving Boys Behind: Gender Disparities in High Academic Achievement","year":2013,"lang":"en","type":"preprint","venue":"Project Muse (Johns Hopkins University)","topic":"School Choice and Performance","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Psychology; Degree (music); Distribution (mathematics); Demography; Mode (computer interface); Demographic economics; Developmental psychology; Sociology; Mathematics; Economics; Physics","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":[0.0008661118,0.0001262322,0.0002150761,0.000711147,0.0005009667,0.0007463564,0.0002654104,0.0002792828,0.003713591],"category_scores_gemma":[0.002159596,0.0001058452,0.0001841677,0.0008054763,0.000399586,0.0005599102,0.000796796,0.0005679549,0.0002664913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264881,"about_ca_system_score_gemma":0.000341346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615328,"about_ca_topic_score_gemma":0.03128011,"domain_scores_codex":[0.9994745,0.000108307,0.0000167064,0.0001181775,0.00006945409,0.0002129007],"domain_scores_gemma":[0.998621,0.0003191247,0.0005088691,0.00007969584,0.0000981574,0.0003730814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105106,0.00003125133,0.9833592,0.00001234448,0.00003108693,0.000141462,0.004482212,0.0000972023,0.0004422247,0.001793087,0.0005500178,0.008954887],"study_design_scores_gemma":[0.000001884926,0.00002947084,0.9954336,0.000007252648,0.000007977518,0.0000400471,0.002934846,0.00007768281,0.0001559789,0.0003126771,0.0009955118,0.000003008481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969035,0.0002936529,0.0001113456,0.0002692794,0.000009900999,0.000001806903,0.0002266985,0.000003152507,0.002180588],"genre_scores_gemma":[0.9992635,0.00006198025,0.0000226518,0.00002139924,0.000005727381,8.351411e-7,0.0000915545,0.000001624725,0.0005306512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01615328,"threshold_uncertainty_score":0.0321185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471393052757262,"score_gpt":0.2824581704120908,"score_spread":0.2353188651363646,"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."}}