{"id":"W3123724789","doi":"","title":"The Impact of Student Debt on Education, Career, and Marriage Choices of Female Lawyers","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Debt; Subsidy; Student debt; Wage; Promotion (chess); Labour economics; Quality (philosophy); Economics; Business; Political science; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00085768,0.0003295137,0.00079037,0.0005028091,0.000680902,0.001709117,0.0009083797,0.00169972,0.01228429],"category_scores_gemma":[0.003502681,0.0004492825,0.0006235149,0.0005980036,0.0005617761,0.0009207561,0.001239572,0.001605483,0.000999404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189236,"about_ca_system_score_gemma":0.001141106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03051261,"about_ca_topic_score_gemma":0.0226545,"domain_scores_codex":[0.9996009,0.0001287464,0.00001231359,0.00005908065,0.00003270263,0.0001663511],"domain_scores_gemma":[0.9985029,0.0006560351,0.0004518174,0.00004277348,0.00006187877,0.0002845932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008137579,0.001352111,0.3757522,0.0001064403,0.0001490308,0.001669731,0.001121063,0.4982777,0.001836314,0.07768487,0.005846273,0.03539059],"study_design_scores_gemma":[0.0002578441,0.0005642703,0.08986674,0.00006993222,0.0001387075,0.0003273183,0.001634486,0.8779184,0.0005085478,0.02244501,0.006193986,0.00007482874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775056,0.0002771452,0.01005433,0.002306574,0.00002188585,0.00004374302,0.0009548055,0.00002969204,0.008806136],"genre_scores_gemma":[0.9887924,0.0002638006,0.0007326224,0.0001104147,0.00001720408,0.00004367453,0.0003062947,0.000007855963,0.009725758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03051261,"threshold_uncertainty_score":0.06067002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748286314001594,"score_gpt":0.3438174870740686,"score_spread":0.3263346239340526,"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."}}