{"id":"W4306893623","doi":"10.3138/utq.91.3.hr065","title":"Sarah Glassford and Amy Shaw, eds. <i>Making the Best of It: Women and Girls of Canada and Newfoundland during the Second World War</i>","year":2022,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"History; Genealogy; Gender studies; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002501077,0.002304118,0.001022758,0.002876249,0.01130074,0.007097426,0.002945198,0.004711598,0.01462374],"category_scores_gemma":[0.00365104,0.001225666,0.0008355292,0.006566458,0.004374369,0.006628403,0.002781633,0.00496615,0.004707973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0289626,"about_ca_system_score_gemma":0.06733275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9185943,"about_ca_topic_score_gemma":0.9773587,"domain_scores_codex":[0.9976768,0.0004385561,0.0000842482,0.0001572148,0.001021113,0.0006220446],"domain_scores_gemma":[0.9958502,0.0007793379,0.0002803091,0.00007006533,0.001807296,0.001212736],"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":[0.00001526434,0.00000817435,0.0007133897,0.0002349167,0.000005495196,0.0000565671,0.003397496,0.00002390499,0.00002140068,0.001264379,0.9732687,0.02099026],"study_design_scores_gemma":[0.00001250485,0.000007417425,0.008470656,0.00175018,0.00002176042,0.0001471459,0.02077929,0.00002366732,0.00005670028,0.0008139701,0.9678851,0.00003158878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009753701,0.8069991,0.00009239626,0.1619133,0.01052249,0.00003057711,0.0004919227,0.00003366961,0.01894114],"genre_scores_gemma":[0.01964488,0.8632271,0.000474675,0.02581032,0.004322069,0.00009768965,0.0005665015,0.0000617644,0.08579506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0814057,"threshold_uncertainty_score":0.2101393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004523081018290913,"score_gpt":0.1734492985405514,"score_spread":0.1689262175222604,"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."}}