{"id":"W4242895532","doi":"10.3368/jhr.50.3.549","title":"Leaving Boys Behind","year":2015,"lang":"en","type":"article","venue":"The Journal of Human Resources","topic":"School Choice and Performance","field":"Social Sciences","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Distribution (mathematics); Psychology; Mode (computer interface); Demographic economics; Mathematics education; Decomposition; Demography; Developmental psychology; Sociology; Economics; Mathematics; Computer science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.003180261,0.0000516009,0.0001023887,0.00005848205,0.0005869529,0.00008914253,0.000532352,0.00003537818,0.0001376758],"category_scores_gemma":[0.0001818192,0.00003117458,0.00005008038,0.00007886645,0.0001772039,0.0002681932,0.00003049653,0.0002487524,0.00003917246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004138566,"about_ca_system_score_gemma":0.00008166354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005369564,"about_ca_topic_score_gemma":0.001239509,"domain_scores_codex":[0.9988157,0.0002448056,0.0002032986,0.00003489677,0.0005356777,0.000165677],"domain_scores_gemma":[0.9992638,0.0001106345,0.0002440524,0.0001004081,0.0001461709,0.0001349888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001854054,0.00008318253,0.07268054,0.00001113314,0.00008367212,0.0000301451,0.7364582,0.0002522805,0.001474311,0.0009907862,0.1811005,0.006649891],"study_design_scores_gemma":[0.0005724636,0.0003441276,0.02387989,0.00007863409,0.00006595928,0.00003664888,0.09183564,0.000006031394,0.0005024098,0.004203743,0.8783267,0.000147713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583249,0.001109462,0.000004165997,0.002187916,0.0001747926,0.00002861888,2.262302e-7,0.000009158098,0.03816078],"genre_scores_gemma":[0.9936557,0.00009156406,0.00002622968,0.0002125534,0.002284749,2.088383e-7,7.090362e-8,0.000005083329,0.003723809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6972263,"threshold_uncertainty_score":0.4514426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07535634288568982,"score_gpt":0.3532528757209349,"score_spread":0.2778965328352451,"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."}}