{"id":"W6928508727","doi":"10.3886/e200601","title":"Data and Code for: Health effects of cousin marriage: Evidence from U.S. genealogical records","year":2025,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Life expectancy; Cousin; Offspring; Fertility; Code (set theory); Birth records; Grandparent","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":[0.001251072,0.001147315,0.0008205274,0.002782369,0.0006913419,0.001711552,0.002070407,0.001727772,0.05548159],"category_scores_gemma":[0.00764971,0.0005787152,0.0007794258,0.006187789,0.0004028616,0.0009441957,0.001511136,0.001627904,0.04786477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176639,"about_ca_system_score_gemma":0.001903337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06345455,"about_ca_topic_score_gemma":0.0941549,"domain_scores_codex":[0.9991264,0.0001578767,0.0001466301,0.000211556,0.0002342374,0.0001232601],"domain_scores_gemma":[0.9962908,0.0009496029,0.0007769786,0.0006435583,0.000935737,0.0004033681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005545509,0.00003599406,0.005020197,0.0003531489,0.00003238148,0.00003301492,0.00003754033,0.0003453058,0.00005871094,0.000466318,0.9915541,0.002007772],"study_design_scores_gemma":[0.0008270456,0.00004612303,0.05410757,0.0005575261,0.00006214408,0.0001635053,0.0003058967,0.001177529,0.0003728691,0.001870572,0.9404362,0.00007305232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003170168,0.00003499023,0.00004414048,0.00008400014,0.00001452591,0.00001002772,0.9990423,0.00007741438,0.0003755786],"genre_scores_gemma":[0.001143678,0.00003954786,0.000242454,0.00006827962,0.00001043044,0.00009008227,0.9977174,0.00002863421,0.0006594523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06345455,"threshold_uncertainty_score":0.1856044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1656539946599349,"score_gpt":0.4279452592931453,"score_spread":0.2622912646332104,"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."}}