{"id":"W1648664186","doi":"10.3386/w21371","title":"The Intergenerational Transmission of War","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Transmission (telecommunications); Genealogy; Geography; Computer science; History; Telecommunications","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":[0.001102344,0.0002908821,0.0002542424,0.0006985345,0.0005234695,0.0008473268,0.0003340075,0.0003498309,0.006079521],"category_scores_gemma":[0.006288823,0.0001908716,0.0003187599,0.0008074836,0.0005146234,0.0007502625,0.0009754768,0.0006165102,0.0005077377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576942,"about_ca_system_score_gemma":0.0003484227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009657535,"about_ca_topic_score_gemma":0.01096701,"domain_scores_codex":[0.9992269,0.000411364,0.00003108103,0.0001237668,0.00006940517,0.000137403],"domain_scores_gemma":[0.9957216,0.002051171,0.00150892,0.0003599176,0.0001388691,0.0002195704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000065984,0.00020805,0.9751136,0.00002004886,0.0001862442,0.0005026675,0.003115818,0.001338421,0.0003440061,0.006651304,0.0004121162,0.01204182],"study_design_scores_gemma":[0.00001060943,0.0001821204,0.9817281,0.00003236925,0.0001296226,0.0004061075,0.00546112,0.005664827,0.0003540215,0.004166417,0.001847779,0.00001695141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967693,0.0001918836,0.0006876555,0.0001878445,0.000007549707,0.00001329039,0.0001713063,0.0000045443,0.001966555],"genre_scores_gemma":[0.9986559,0.0002022744,0.0001822105,0.00002234267,0.000006287277,0.00001093533,0.00008721011,0.000001606719,0.0008312066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009657535,"threshold_uncertainty_score":0.02033806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5310203699663398,"score_gpt":0.5677940028617974,"score_spread":0.03677363289545754,"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."}}