{"id":"W4405098957","doi":"10.3138/chr.105.4.rev7","title":"<i>Making the Best of It: Women and Girls of Canada and Newfoundland during the Second World War</i>. Sarah Glassford and Amy Shaw, eds.","year":2024,"lang":"en","type":"article","venue":"Canadian Historical Review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Genealogy; Economic history; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187683,0.001105611,0.0009899805,0.002652282,0.01839345,0.008125577,0.002603099,0.003862881,0.01036143],"category_scores_gemma":[0.003233528,0.0007623796,0.0004709777,0.008479256,0.01140201,0.004360904,0.003519196,0.004200131,0.001147317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08736601,"about_ca_system_score_gemma":0.1783075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912915,"about_ca_topic_score_gemma":0.9973441,"domain_scores_codex":[0.9978753,0.0003319681,0.00005164737,0.000132393,0.0006673091,0.0009413278],"domain_scores_gemma":[0.9978828,0.0004775827,0.0001656337,0.00004922401,0.0007046239,0.0007202488],"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":[0.00007231536,0.00002192107,0.003593218,0.001399243,0.000026913,0.0004760758,0.06297954,0.0001241451,0.00008576138,0.02747595,0.7644511,0.1392937],"study_design_scores_gemma":[0.000006380267,0.000008723028,0.0122847,0.00277217,0.00002674195,0.0002281124,0.07217459,0.00001799389,0.00007346455,0.001338715,0.9110339,0.00003457874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003592145,0.8855254,0.00005420758,0.07488805,0.004093335,0.00001256905,0.0003939329,0.00001827977,0.03142209],"genre_scores_gemma":[0.07557245,0.863144,0.0002389885,0.01332945,0.001800143,0.00004581805,0.000391262,0.00006176163,0.04541619],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08736601,"threshold_uncertainty_score":0.6338877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888145947272796,"score_gpt":0.2423713530999065,"score_spread":0.2234898936271786,"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."}}