{"id":"W2149586134","doi":"10.1017/s1361491601000065","title":"Special Issue on German Cliometrics: Editors' Foreword","year":2001,"lang":"en","type":"article","venue":"European Review of Economic History","topic":"European history and politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"COM DEV International","funders":"","keywords":"German; Library science; Classics; History; Economic history; Media studies; Sociology; Archaeology; Computer science","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":[0.007345545,0.003322701,0.004204964,0.01647218,0.002614205,0.01184737,0.002815329,0.003470234,0.09248124],"category_scores_gemma":[0.04062051,0.0008942023,0.001267677,0.0208081,0.001688471,0.007886662,0.003248644,0.004488301,0.07786056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894719,"about_ca_system_score_gemma":0.004714794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00644867,"about_ca_topic_score_gemma":0.009083424,"domain_scores_codex":[0.9930192,0.001026129,0.001180609,0.000692291,0.003675163,0.0004066765],"domain_scores_gemma":[0.9645574,0.005987925,0.002901817,0.001617318,0.02295868,0.001976888],"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":[0.000004339193,0.000001771847,0.00002029162,0.00005368845,0.000001380788,0.000002244109,0.00000402412,0.000006824191,0.000007320898,0.0004977518,0.9931799,0.006220556],"study_design_scores_gemma":[0.000007074662,0.000004412588,0.0005978437,0.0001678122,0.000007335083,0.00001945951,0.00003586107,0.00005558283,0.0000277448,0.00132212,0.9977442,0.00001064536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003860412,0.06883069,0.003412668,0.0987369,0.7560408,0.0002402165,0.007224642,0.00104181,0.06408622],"genre_scores_gemma":[0.006716984,0.0654279,0.004767836,0.0282794,0.5984697,0.0008103175,0.008517438,0.002546464,0.284464],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09248124,"threshold_uncertainty_score":0.3093806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460748581100565,"score_gpt":0.3139643311779937,"score_spread":0.2693568453669881,"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."}}