{"id":"W2440133034","doi":"10.1007/s11150-016-9339-8","title":"Matching, marriage, and children: differences across sexual orientations","year":2016,"lang":"en","type":"article","venue":"Review of Economics of the Household","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Matching (statistics); Sexual orientation; Fertility; Psychology; Developmental psychology; Same sex; Social psychology; Constant (computer programming); Demographic economics; Demography; Economics; Population; Sociology; Statistics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000361542,0.0001089672,0.0003468556,0.0000269578,0.00008968169,0.00001058856,0.0003475414,0.00005562457,0.00012754],"category_scores_gemma":[0.00003302389,0.00006507468,0.00009174617,0.00005242395,0.0001938576,0.0000873887,0.0001182673,0.00006763072,0.00002351122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001950163,"about_ca_system_score_gemma":0.0000371423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358067,"about_ca_topic_score_gemma":0.0002965995,"domain_scores_codex":[0.9990078,0.000100111,0.0004817171,0.000187555,0.00003756284,0.0001853166],"domain_scores_gemma":[0.9988325,0.0001279634,0.0004432677,0.0005222201,0.00001681872,0.00005726146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002320043,0.0002020989,0.830283,0.006808624,0.0002476911,3.176758e-7,0.001155415,0.000001246298,0.00004398855,0.1037389,0.01303611,0.04445942],"study_design_scores_gemma":[0.0006241442,0.00007927094,0.9855062,0.0008596902,0.0001222461,0.00002303072,0.000059099,2.337138e-7,0.00002119562,0.009429084,0.003101868,0.000173946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800243,0.01473781,0.000006101864,0.002130863,0.0004966662,0.0002982029,0.0004613133,0.00001088011,0.001833851],"genre_scores_gemma":[0.8953413,0.1012775,0.00005041966,0.0008580096,0.0001671667,0.00001615505,0.000002731924,0.00002085671,0.00226586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1552232,"threshold_uncertainty_score":0.2653669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044248271034792,"score_gpt":0.3375499968905277,"score_spread":0.2871075141801798,"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."}}