{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428741,0.0002595106,0.0001526086,0.0008958111,0.001401246,0.001269395,0.0002164631,0.0004920494,0.02383445],"category_scores_gemma":[0.0005710751,0.000149588,0.0001447841,0.001528151,0.0003692598,0.0009268699,0.002003121,0.0004727564,0.003783068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189951,"about_ca_system_score_gemma":0.001435715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375131,"about_ca_topic_score_gemma":0.02685169,"domain_scores_codex":[0.9995103,0.00007659301,0.00001793336,0.0000397746,0.00006700801,0.0002884116],"domain_scores_gemma":[0.9997409,0.00002088513,0.00004124615,0.00001198641,0.00002472814,0.0001603473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004835796,0.0002173441,0.2311962,0.000654973,0.0001040559,0.004843113,0.027185,0.0004419879,0.002387123,0.05964037,0.2843464,0.3884999],"study_design_scores_gemma":[0.00002460561,0.0001026394,0.3673018,0.000579489,0.0000282421,0.0009486381,0.02625787,0.000135541,0.000446406,0.001841476,0.6023018,0.00003145768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189838,0.02226377,0.0003296062,0.04130445,0.00161756,0.00003375495,0.002714494,0.00005585525,0.2126967],"genre_scores_gemma":[0.910457,0.00960036,0.0001995442,0.00417432,0.0002583004,0.00002632524,0.0008586925,0.00002327725,0.07440218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02383445,"threshold_uncertainty_score":0.07973415,"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."}}