{"id":"W6912941664","doi":"10.5281/zenodo.8341790","title":"English 3450: Introduction to Old English 1: Periodisation","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Old English; Sequence (biology); Period (music); Feature (linguistics)","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005756967,0.0001114677,0.0001011336,0.0003079543,0.00229577,0.001264239,0.0003652054,0.00003706953,0.02458824],"category_scores_gemma":[0.002730564,0.0001175342,0.00004226916,0.0003015561,0.0001046496,0.0002147314,0.00037429,0.000162081,0.01029558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273978,"about_ca_system_score_gemma":0.000002546048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004941121,"about_ca_topic_score_gemma":0.0000042848,"domain_scores_codex":[0.9987437,0.0001228714,0.0002009171,0.0003417456,0.0002905553,0.0003002784],"domain_scores_gemma":[0.9981358,0.00001550911,0.00005834768,0.000310769,0.001356014,0.0001235487],"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":[0.00002843292,0.00004720186,0.000001665473,0.00003218325,0.00001905657,0.000004156914,0.121718,0.0001002718,0.0003301273,0.1491368,0.707491,0.02109115],"study_design_scores_gemma":[0.0001867049,0.0001218881,0.0001642922,0.00001052176,0.00001003313,0.000002254833,0.008720047,0.0002750213,0.00007225441,0.0002366973,0.9900536,0.0001466657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2025188,0.00006418994,0.0008162303,0.003598192,0.006470401,0.001195561,0.0007213092,0.007625953,0.7769894],"genre_scores_gemma":[0.9688075,0.00002195364,0.00006408723,0.0002172224,0.0142829,1.5586e-7,0.003597217,0.0008023704,0.01220662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7662887,"threshold_uncertainty_score":0.9997725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951118989514464,"score_gpt":0.2240458988277174,"score_spread":0.1945347089325727,"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."}}