{"id":"W1536292154","doi":"","title":"The Invisible Retirement of Women","year":2002,"lang":"en","type":"preprint","venue":"TSpace","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Institution; Meaning (existential); Welfare state; Labour economics; Economics; Unemployment; Pension; Welfare; Retirement age; Social security; Demographic economics; Political science; Economic growth; Politics; Market economy; Psychology; Law","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":[0.001734923,0.0002872591,0.0003225355,0.001507174,0.02169259,0.005188081,0.0009127212,0.001468218,0.006885016],"category_scores_gemma":[0.003896381,0.0001982976,0.0003186214,0.001861505,0.01000644,0.003144296,0.004385294,0.003058629,0.0008535173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02440583,"about_ca_system_score_gemma":0.05141735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8550048,"about_ca_topic_score_gemma":0.9327934,"domain_scores_codex":[0.997905,0.0002977313,0.00003792368,0.0001959595,0.0005676679,0.0009956476],"domain_scores_gemma":[0.9986198,0.0002124756,0.0001338004,0.00005968173,0.00039593,0.0005782767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008914086,0.00003370771,0.01871409,0.0002104094,0.00001354321,0.001021973,0.5389279,0.00007802897,0.0005150232,0.2093658,0.09383041,0.1372],"study_design_scores_gemma":[0.000003699019,0.00002327082,0.01461041,0.0003459837,0.000008977211,0.0002712278,0.09871613,0.00002562919,0.0001619405,0.003713641,0.8820903,0.00002864793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3540893,0.05855543,0.001892545,0.1724384,0.008201498,0.0001089613,0.001286509,0.0001115493,0.4033158],"genre_scores_gemma":[0.7816915,0.02122704,0.0007438759,0.02878413,0.0006173502,0.00003616385,0.0001985636,0.0000703656,0.166631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8550048,"threshold_uncertainty_score":0.2916981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2749694839229578,"score_gpt":0.4678250496756551,"score_spread":0.1928555657526973,"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."}}