{"id":"W2942812774","doi":"10.3386/w22094","title":"Three-generation Mobility in the United States, 1850-1940: The Role of Maternal and Paternal Grandparents","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Grandparent; Trait; Inheritance (genetic algorithm); Demographic economics; Matching (statistics); Demography; Psychology; Economics; Developmental psychology; Medicine; Sociology; Biology; Genetics","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":[0.0008551747,0.0002292176,0.0002564261,0.0008354062,0.0006020149,0.0006682204,0.0003525233,0.0003445785,0.002259864],"category_scores_gemma":[0.001778879,0.0001421997,0.0006010053,0.001255747,0.0004055607,0.0005356199,0.0008140346,0.0005088722,0.0002008739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006465905,"about_ca_system_score_gemma":0.0003598635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07759758,"about_ca_topic_score_gemma":0.08957852,"domain_scores_codex":[0.99984,0.00005325689,0.00001123518,0.00004338782,0.00001518037,0.00003700734],"domain_scores_gemma":[0.9994639,0.0002238463,0.0001452621,0.00005884347,0.00004586985,0.00006230462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006625333,0.00004094928,0.9760314,0.00002081395,0.000220639,0.0001016645,0.001298215,0.003871656,0.0001241459,0.005899718,0.0008669856,0.01145761],"study_design_scores_gemma":[0.00001479157,0.00004238286,0.9810409,0.00004025169,0.0001647559,0.0001417203,0.001737888,0.00867592,0.0002337415,0.003173063,0.004718989,0.00001554821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964551,0.0003624854,0.001008639,0.0001456255,0.000008924801,0.00000548356,0.0006414935,0.000007072904,0.001365239],"genre_scores_gemma":[0.9976203,0.0002126716,0.0004900199,0.00002083593,0.000006503991,0.000006550771,0.0008283448,0.000002428265,0.0008122115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07759758,"threshold_uncertainty_score":0.1542919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3698443734059234,"score_gpt":0.5137874600549976,"score_spread":0.1439430866490742,"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."}}