{"id":"W2730213145","doi":"10.4000/ifha.1007","title":"SEGGERN, Harm von, FOUQUET, Gerhard, Adel und Zahl. Studien zum adligen Rechnen und Haushalten in Spätmittelalter und früher Neuzeit","year":2013,"lang":"de","type":"article","venue":"Revue de l’Institut français d’histoire en Allemagne","topic":"Historical Economic and Legal Thought","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut d'Histoire de l'Amérique Française","funders":"","keywords":"Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002131253,0.001240447,0.002028642,0.0006051553,0.002001891,0.0004095362,0.002049238,0.001519699,0.006079355],"category_scores_gemma":[0.0008696908,0.001361459,0.0007304226,0.001461398,0.001670725,0.001466314,0.0005448648,0.002268965,0.01222544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004520412,"about_ca_system_score_gemma":0.001124963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07619449,"about_ca_topic_score_gemma":0.03315336,"domain_scores_codex":[0.9914634,0.0009395718,0.002198395,0.002104059,0.0008318167,0.002462796],"domain_scores_gemma":[0.9955001,0.0006950297,0.0007907953,0.001417886,0.0003474632,0.001248724],"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":[0.0005561032,0.003675164,0.03161374,0.001747932,0.003148829,0.002469272,0.1715096,0.001046493,0.0005959983,0.04915324,0.4576528,0.2768309],"study_design_scores_gemma":[0.001737005,0.0002449087,0.005845321,0.0004157317,0.0006646009,0.00001076331,0.001088948,0.0006278162,0.00002732736,0.0009636781,0.9867537,0.001620186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05508612,0.3235716,0.002218664,0.05093642,0.02255861,0.007836634,0.000429116,0.0009164635,0.5364464],"genre_scores_gemma":[0.6217913,0.01988234,0.00798849,0.006655565,0.01570708,0.001330969,0.0002607422,0.0006431955,0.3257403],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5667052,"threshold_uncertainty_score":0.9997765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992384845421901,"score_gpt":0.2684374244328304,"score_spread":0.2485135759786113,"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."}}