{"id":"W2150137566","doi":"10.3138/cpp.33.2.147","title":"Why Did Employment and Earnings Rise among Lone Mothers in Canada during the 1980s and 1990s?","year":2007,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Statistics Canada","funders":"","keywords":"Microdata (statistics); Educational attainment; Earnings; Baby boom; Demographic economics; Census; Economics; Labour economics; Demography; Economic growth; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047188,0.0002111229,0.0004092082,0.001831668,0.004712269,0.001957309,0.001213651,0.0009807107,0.003404381],"category_scores_gemma":[0.002810594,0.0002466384,0.0003816244,0.003469296,0.001504469,0.0007718811,0.000872267,0.001212741,0.0003074457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04279906,"about_ca_system_score_gemma":0.04296676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964783,"about_ca_topic_score_gemma":0.9987212,"domain_scores_codex":[0.9988405,0.00003706531,0.00002447576,0.00009806912,0.000222944,0.000776929],"domain_scores_gemma":[0.9979681,0.0001056777,0.0003410341,0.00004862422,0.0007712776,0.0007652386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001533524,0.00004084855,0.9663023,0.00004195226,0.00003454445,0.0002203962,0.004544166,0.0001362951,0.0001910152,0.001365169,0.007047148,0.01992279],"study_design_scores_gemma":[0.00000462723,0.000007795071,0.9906808,0.00004189688,0.00001001446,0.00002880145,0.0051198,0.00008369046,0.00005146886,0.00008646648,0.003875717,0.000008895716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722775,0.004099662,0.00005367413,0.01201909,0.00009617989,0.00001755102,0.003583412,0.00001080022,0.007842066],"genre_scores_gemma":[0.994959,0.00149847,0.00004258741,0.0006204359,0.00002790137,0.000005143408,0.000790449,0.000004603522,0.002051401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04279906,"threshold_uncertainty_score":0.3105304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009415403395903974,"score_gpt":0.2294119012976096,"score_spread":0.2199964979017056,"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."}}