{"id":"W7000217411","doi":"","title":"Engendering The State: Family, Work, and Welfare in Canada","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare; Social policy; Scholarship; Government (linguistics); Social Welfare; Public policy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002168709,0.00009122172,0.0001164777,0.00103964,0.0008251214,0.00002748763,0.0002183468,0.00004226313,0.000003227125],"category_scores_gemma":[0.00005907722,0.00007308616,0.00002843305,0.007920449,0.0001640141,0.0001314343,0.000172851,0.0001536928,0.000002516272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542843,"about_ca_system_score_gemma":0.0008576415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981161,"about_ca_topic_score_gemma":0.9989197,"domain_scores_codex":[0.9990306,0.0001437595,0.00007436152,0.0001625778,0.0002038458,0.0003848225],"domain_scores_gemma":[0.9996814,0.0001152032,0.00003539816,0.00008853242,0.0000296504,0.00004979082],"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":[0.0001148278,0.00004809163,0.07382745,0.00007335436,0.0002274509,0.000674052,0.6813681,0.0001570808,0.000001197155,0.02535618,0.002130837,0.2160214],"study_design_scores_gemma":[0.0001783095,0.000005542463,0.02025123,0.000009128619,0.000007514688,1.168397e-7,0.125163,0.000007615227,0.000001965443,0.000008617747,0.8542596,0.0001073384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6709837,0.000004000119,0.00000123956,0.004820641,0.0002105197,0.0002700576,0.00001295616,0.00008415667,0.3236127],"genre_scores_gemma":[0.9221732,0.07753685,0.000004033571,0.0001019013,0.00006486777,0.000001849333,0.00000124908,0.000006626785,0.0001094221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8521288,"threshold_uncertainty_score":0.634625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436986036445479,"score_gpt":0.2495637221586546,"score_spread":0.2151938617941998,"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."}}