{"id":"W936899539","doi":"","title":"Eastern Germany ahead in employment of women","year":2014,"lang":"de","type":"article","venue":"Econstor (Econstor)","topic":"Social and Demographic Issues in Germany","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; West germany; German reunification; Quarter (Canadian coin); Work (physics); Demographic economics; Demography; Political science; Geography; Economics; Economic history; Sociology; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003553247,0.0007220742,0.0018163,0.000862409,0.0005611025,0.00003211169,0.0006561286,0.001071544,0.006048045],"category_scores_gemma":[0.0004827405,0.0007720311,0.0004264608,0.0007169761,0.001086434,0.0002736013,0.0004582274,0.001586083,0.005733109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338517,"about_ca_system_score_gemma":0.0009241114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000990166,"about_ca_topic_score_gemma":0.0006744064,"domain_scores_codex":[0.9917963,0.001770199,0.002556573,0.0009865615,0.0006135336,0.002276867],"domain_scores_gemma":[0.9949929,0.001537784,0.001220771,0.001219854,0.0002383984,0.0007902571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572979,0.0005187638,0.9521095,0.0005769731,0.0002283079,0.00003076812,0.03069497,0.000003789258,0.00007555105,0.005268699,0.00798191,0.002353487],"study_design_scores_gemma":[0.004886162,0.0005862287,0.6479146,0.001616112,0.0001552397,0.00001046208,0.006639313,0.0004136056,0.0000731753,0.003156507,0.3333261,0.001222482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468383,0.005176687,0.00004956986,0.0009276081,0.01365447,0.001264266,0.0001142823,0.0001456002,0.03182919],"genre_scores_gemma":[0.9864419,0.0005777144,0.0002051816,0.001762024,0.002704887,0.0002839186,0.00002487688,0.000114449,0.007885095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3253442,"threshold_uncertainty_score":0.999473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506859568392239,"score_gpt":0.3226091414603493,"score_spread":0.2975405457764269,"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."}}