{"id":"W4200312051","doi":"10.4467/00786500.org.21.004.14789","title":"Between Textual Borrowing and Forgery. On Compilatory Practices of Medieval Universal Chroniclers Based on Martinus Polonus","year":2021,"lang":"en","type":"article","venue":"ORGANON","topic":"Historical and Archaeological Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Face (sociological concept); Ideology; Historiography; Politics; Character (mathematics); Literature; Quarter (Canadian coin); History; Law; Classics; Philosophy; Art; Linguistics; Political science; Mathematics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000105592,0.0001078523,0.0002157822,0.000039303,0.0002775294,0.00001549418,0.00006433137,0.00003772912,0.0009200781],"category_scores_gemma":[0.0001895008,0.00008279736,0.0000474538,0.00004153735,0.0003598048,0.00006855746,0.00006511924,0.0001400926,0.00002465419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005891135,"about_ca_system_score_gemma":0.00004732015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008722067,"about_ca_topic_score_gemma":0.0002260936,"domain_scores_codex":[0.9992221,0.00006926754,0.0001464292,0.0001943847,0.0001939906,0.0001738392],"domain_scores_gemma":[0.9991528,0.0005024274,0.0001338869,0.00009515082,0.00005297665,0.00006271409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002110596,0.003168329,0.1356092,0.0010174,0.001081431,0.001510254,0.1090291,0.0001813199,0.01267384,0.5250588,0.07794231,0.1306174],"study_design_scores_gemma":[0.001066676,0.001361942,0.0156529,0.000124553,0.0001025582,0.000001829551,0.005347004,0.0001086441,0.004340347,0.0003905834,0.9711617,0.0003412844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174715,0.0005502376,0.00001827151,0.004557051,0.0002990227,0.00008956145,0.00005785727,0.00006104756,0.07689545],"genre_scores_gemma":[0.9967402,0.00001406609,0.00005252547,0.0003711434,0.0003325659,0.000001191918,0.0000117518,0.000008720779,0.002467887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8932194,"threshold_uncertainty_score":0.9999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04992820788862846,"score_gpt":0.2493623571748498,"score_spread":0.1994341492862213,"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."}}