{"id":"W2312939443","doi":"10.1086/ahr.113.1.163","title":"JENNIFER A. STEPHEN. Pick One Intelligent Girl: Employability, Domesticity, and the Gendering of Canada's Welfare State, 1939-1947. (Studies in Gender and History, number 29.) Buffalo, N.Y.: University of Toronto Press. 2007. Pp. x, 299. Cloth $75.00, paper $29.95","year":2008,"lang":"en","type":"article","venue":"The American Historical Review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Gender studies; World War II; Demobilization; State (computer science); Welfare state; Military service; Employability; Welfare; Girl; Sociology; Political science; Law; Psychology; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005050848,0.0008736943,0.0003624076,0.003372182,0.009521415,0.002562103,0.001052753,0.002040448,0.02814962],"category_scores_gemma":[0.001461365,0.0005104518,0.0002652538,0.005757814,0.00195901,0.003196778,0.001335333,0.002143953,0.003935265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01897319,"about_ca_system_score_gemma":0.0209325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462661,"about_ca_topic_score_gemma":0.9892629,"domain_scores_codex":[0.9996305,0.00004169639,0.00001221671,0.00004192594,0.0001763526,0.00009723433],"domain_scores_gemma":[0.9990601,0.0001625068,0.00007586413,0.00001268879,0.0004366516,0.0002522486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006142081,0.000008118573,0.0009598842,0.0001287948,0.000003116915,0.0001076439,0.004442283,0.00001749259,0.00002868534,0.003241569,0.9631759,0.02788046],"study_design_scores_gemma":[0.000003974638,0.000005713657,0.01006984,0.0008756869,0.00000695113,0.0001367413,0.01589968,0.00001663276,0.00005388222,0.00122012,0.971693,0.00001777961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004169967,0.7408887,0.0002453361,0.1373371,0.005782355,0.00006272418,0.003387782,0.00009399057,0.108032],"genre_scores_gemma":[0.06502259,0.4947441,0.0007594471,0.02399098,0.001770504,0.0001029259,0.001201285,0.0001267291,0.4122815],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05373394,"threshold_uncertainty_score":0.1376607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04961460222998205,"score_gpt":0.2642624385312952,"score_spread":0.2146478363013132,"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."}}