{"id":"W2287366401","doi":"","title":"Inequality of wealth for never married women in Canada, Germany, Sweden, and the United States","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marital status; Poverty; Demography; Inequality; Demographic economics; Comparability; Geography; Socioeconomics; Economics; Economic growth; Sociology; Population","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":[0.000408733,0.0001553361,0.0004194663,0.001478315,0.002246856,0.001309318,0.0003673321,0.0002646137,0.002012654],"category_scores_gemma":[0.00185905,0.0001330544,0.0002814544,0.00315866,0.0005600039,0.0003572069,0.0008815596,0.0003886751,0.000122244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007250353,"about_ca_system_score_gemma":0.008583262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9718621,"about_ca_topic_score_gemma":0.986442,"domain_scores_codex":[0.9996532,0.0000316739,0.00001644339,0.00004005102,0.00008845065,0.0001702221],"domain_scores_gemma":[0.9993705,0.0000644697,0.0001093018,0.00002104289,0.0001812887,0.000253463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009928348,0.00003419959,0.9906936,0.00001301099,0.00004544441,0.0001171757,0.001798498,0.00008828981,0.00005460703,0.0003135407,0.000803876,0.005938313],"study_design_scores_gemma":[0.000004117395,0.0000119258,0.9966314,0.00002194852,0.00001497003,0.00003235958,0.002490845,0.0001313975,0.00002453673,0.00005194707,0.0005783281,0.000006223049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975802,0.0003736785,0.00001123848,0.000118458,0.000005262347,0.000005485847,0.0006795607,9.66457e-7,0.001225084],"genre_scores_gemma":[0.9981064,0.0004796853,0.00002645313,0.00003528529,0.000003124466,0.000003719149,0.0006852518,0.000001215882,0.0006588474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02813792,"threshold_uncertainty_score":0.05660719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522459628763664,"score_gpt":0.302309583739809,"score_spread":0.2770849874521724,"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."}}