{"id":"W4283023151","doi":"10.31926/kbzgf.2022.22.03","title":"Greedy Wolf or Cunning Fox? Most Common Teriophore Surnames in Germany","year":2022,"lang":"de","type":"article","venue":"Kronstädter Beiträge zur germanistischen Forschung","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Humanities; Art","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001120654,0.0009945665,0.001288699,0.0006646065,0.003267025,0.001360611,0.0015599,0.0002468179,0.01092975],"category_scores_gemma":[0.0005909763,0.001055164,0.0004640164,0.0003538002,0.0007150547,0.0007352447,0.002511618,0.001894975,0.0006632212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007785675,"about_ca_system_score_gemma":0.0003457758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028482,"about_ca_topic_score_gemma":0.007134582,"domain_scores_codex":[0.993768,0.0005644336,0.001510975,0.001243336,0.001271732,0.001641503],"domain_scores_gemma":[0.996963,0.0002255619,0.0007320769,0.001086713,0.0006582863,0.0003344016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002756245,0.004190429,0.1399165,0.002462192,0.002685942,0.01633336,0.381487,0.0002453139,0.0001977247,0.06750322,0.3733943,0.008827694],"study_design_scores_gemma":[0.00347741,0.0005715203,0.006787599,0.0003790763,0.001011858,0.00004662084,0.03761876,0.001671104,0.00008989713,0.0008542105,0.9451541,0.002337796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8245628,0.03883821,0.00007523249,0.0003726956,0.07695214,0.002514041,0.005967022,0.0005836888,0.05013415],"genre_scores_gemma":[0.9469634,0.0006191321,0.0001460379,0.001216427,0.01055804,0.0001152244,0.0007483631,0.0001997552,0.03943359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5717598,"threshold_uncertainty_score":0.999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323618338344624,"score_gpt":0.2472844472203241,"score_spread":0.2240482638368778,"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."}}