{"id":"W193707214","doi":"","title":"Recipes for Democracy? Gender, Family, and Making Female Citizens in Cold War Canada","year":2000,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cold war; Democracy; Political science; Gender studies; Sociology; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.00267621,0.0002976044,0.0005346967,0.001309664,0.06176402,0.01011313,0.001825343,0.002673033,0.01230222],"category_scores_gemma":[0.004840416,0.0003003113,0.0003536283,0.002289346,0.01212691,0.00219326,0.00344366,0.00595978,0.0004384128],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1428204,"about_ca_system_score_gemma":0.2207385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963444,"about_ca_topic_score_gemma":0.9989163,"domain_scores_codex":[0.9959713,0.0005792268,0.00003939711,0.0002219619,0.0004388785,0.002749327],"domain_scores_gemma":[0.9951724,0.0005688888,0.0001961483,0.00009166016,0.0009808631,0.00299005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003357148,0.0002444012,0.08855885,0.00009878397,0.00005836615,0.001076403,0.4581492,0.0008963241,0.000633519,0.2635304,0.1184946,0.06792345],"study_design_scores_gemma":[0.0000298553,0.00003275506,0.05786781,0.0001837241,0.00003971801,0.00009817841,0.6685438,0.0003566243,0.0004167665,0.008269679,0.2640603,0.0001007848],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7512398,0.002640935,0.0003516738,0.114704,0.0005198341,0.00005616093,0.0004388966,0.00002117724,0.1300273],"genre_scores_gemma":[0.9647663,0.0007818586,0.0001376,0.003503636,0.00003240993,0.00001618642,0.00006396259,0.00002654587,0.03067146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428204,"threshold_uncertainty_score":0.9942068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611149397343699,"score_gpt":0.2517032194123915,"score_spread":0.2255917254389546,"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."}}