{"id":"W2148455532","doi":"10.1007/s001480100073","title":"\"Living in sin\" and marriage: A matching model","year":2002,"lang":"en","type":"article","venue":"Journal of Population Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cohabitation; Matching (statistics); Social policy; Economics; Demographic economics; Labour economics; Sociology; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006447589,0.00005144629,0.0001304635,0.0001236101,0.0001139094,0.00007436019,0.00007672454,0.00006227149,0.00002573523],"category_scores_gemma":[0.00006597817,0.00005645258,0.00003497392,0.00005611842,0.00002177155,0.0005012809,0.00001423912,0.0001127091,0.00000161503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641579,"about_ca_system_score_gemma":0.00002409245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003460216,"about_ca_topic_score_gemma":0.0022069,"domain_scores_codex":[0.9993579,0.00005033681,0.0003408311,0.0000657154,0.00006247542,0.0001227439],"domain_scores_gemma":[0.9995493,0.00005941766,0.0002485861,0.00004483661,0.00003133554,0.00006655542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004361403,0.00004217379,0.7353223,0.000007295765,0.00001078589,0.00000254052,0.03260703,0.201148,0.00001109653,0.02573865,0.00005542587,0.005050326],"study_design_scores_gemma":[0.0003175385,0.00001591042,0.5004645,0.00003335858,0.00001147908,0.000008331782,0.007943007,0.4388909,1.669087e-7,0.05197108,0.0002067725,0.0001369461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955285,0.0001080639,0.00159538,0.0003486707,0.0002353221,0.00004072599,0.000001497169,0.000004439119,0.002137367],"genre_scores_gemma":[0.996136,0.0006852714,0.00267259,0.0001252796,0.000144465,2.661155e-7,3.982636e-7,0.000006436911,0.0002293052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377429,"threshold_uncertainty_score":0.230207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256569957431372,"score_gpt":0.2673204026766028,"score_spread":0.2347547031022891,"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."}}