{"id":"W2645605608","doi":"10.1177/0363199017713540","title":"Sibling Influence on Access to Marriage","year":2017,"lang":"en","type":"article","venue":"Journal of Family History","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sibling; Demography; Sociology; Demographic economics; Gender studies; Economics; Anthropology","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":[0.000588374,0.00007639609,0.0001620072,0.0002632295,0.0005599513,0.0004085094,0.000115793,0.0001666105,0.00539544],"category_scores_gemma":[0.00230334,0.00006574623,0.0001243812,0.0002979957,0.0004285864,0.0003127822,0.0006896585,0.0001731891,0.0001345656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933614,"about_ca_system_score_gemma":0.000223172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00593162,"about_ca_topic_score_gemma":0.02159871,"domain_scores_codex":[0.9995296,0.000280586,0.00001868966,0.00005774156,0.00006534252,0.00004806215],"domain_scores_gemma":[0.9989647,0.000428776,0.0002485726,0.00006935732,0.00007851797,0.0002102039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002499378,0.000115022,0.9531586,0.00003560993,0.00009482037,0.0004930131,0.009627988,0.0001791445,0.003345968,0.005194395,0.0002320855,0.02727329],"study_design_scores_gemma":[0.00000795231,0.0001440758,0.9881369,0.0000161884,0.00004866519,0.0004275455,0.007076471,0.0002381556,0.0003696127,0.0009587306,0.002565053,0.00001057771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949523,0.0001693728,0.00007500072,0.00005133584,0.000002360298,0.000001079164,0.00001346503,8.298854e-7,0.004734259],"genre_scores_gemma":[0.9995179,0.00007229032,0.00003850395,0.00001023659,0.00000136777,4.436936e-7,0.000006726639,4.497877e-7,0.0003520964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00593162,"threshold_uncertainty_score":0.01804954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1894111480191544,"score_gpt":0.397912977430986,"score_spread":0.2085018294118315,"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."}}