{"id":"W3121275060","doi":"10.1016/j.euroecorev.2022.104259","title":"More or Less Unmarried. The Impact of Legal Settings of Cohabitation on Labour Market Outcomes","year":2021,"lang":"en","type":"article","venue":"European Economic Review","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec-Société et Culture; Université du Québec à Montréal; Université Laval","keywords":"Cohabitation; Alimony; Earnings; Demographic economics; Inequality; Work (physics); Separation (statistics); Economics; Labour economics; Political science; Law; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001871504,0.0001231349,0.0003912523,0.0000239513,0.0001105583,0.00003590358,0.0003310014,0.00002196519,0.0005386763],"category_scores_gemma":[0.0005576265,0.00007792644,0.0002392003,0.0001427951,0.0001511892,0.000109549,0.0000514342,0.00009487988,0.00005221032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009918641,"about_ca_system_score_gemma":0.0003712524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004301475,"about_ca_topic_score_gemma":0.0002241581,"domain_scores_codex":[0.9981643,0.0008770446,0.0004847115,0.0001889086,0.000111123,0.0001739],"domain_scores_gemma":[0.9988167,0.0003031298,0.000385383,0.0003371201,0.00009911039,0.00005860137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001397407,0.0004760761,0.5340563,0.005354162,0.001136478,0.0001014643,0.03151135,0.001023191,0.0001262424,0.14017,0.1802935,0.1056114],"study_design_scores_gemma":[0.0003594706,0.0000832366,0.9000076,0.0009832652,0.00007936096,0.000004103431,0.00781276,0.00005968454,0.000006753908,0.0001453122,0.09023129,0.0002271435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610399,0.005844899,0.000008878766,0.003086206,0.0002849172,0.0003637214,0.0001409714,0.00001929297,0.1292113],"genre_scores_gemma":[0.9361411,0.04964213,0.000184578,0.002196791,0.0001321163,0.000004622091,0.00002188873,0.00003478902,0.01164194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3659513,"threshold_uncertainty_score":0.5898127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03310266566215277,"score_gpt":0.3291445822025378,"score_spread":0.296041916540385,"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."}}