{"id":"W4413983048","doi":"10.3390/encyclopedia5030137","title":"The Computational Study of Old English","year":2025,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039099,0.0002272476,0.0003173783,0.002156744,0.001243041,0.003305332,0.0007710547,0.0003634503,0.006305431],"category_scores_gemma":[0.003544174,0.0001907037,0.0003438355,0.002689579,0.005422729,0.005329336,0.00160095,0.0006960747,0.0004241269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207885,"about_ca_system_score_gemma":0.001426238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005923691,"about_ca_topic_score_gemma":0.00970091,"domain_scores_codex":[0.9993517,0.0003394469,0.00004385916,0.000111947,0.0001181243,0.00003486009],"domain_scores_gemma":[0.9979184,0.001633207,0.00009869911,0.0001993981,0.0001113915,0.00003883458],"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":[0.00000887119,0.000006922015,0.0009302622,0.0001817042,0.00001166738,0.0000939829,0.002284202,0.00210423,0.0001694219,0.9727042,0.002364654,0.01913968],"study_design_scores_gemma":[0.000006108287,0.0000077955,0.00277425,0.0002659547,0.00001368866,0.0001861152,0.00318035,0.008844861,0.0005296415,0.7627788,0.2213939,0.00001856616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1467217,0.04201589,0.2499754,0.01670442,0.000497426,0.00007990903,0.002587076,0.000311245,0.5411069],"genre_scores_gemma":[0.8859338,0.01425296,0.06450091,0.0005954588,0.0003889315,0.0001265942,0.001810105,0.0001495092,0.03224158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006305431,"threshold_uncertainty_score":0.02109373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008842777768349259,"score_gpt":0.2332751989683644,"score_spread":0.2244324212000151,"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."}}