{"id":"W3172079241","doi":"","title":"The lemmatisation of Old English comparative adverbs.","year":2020,"lang":"es","type":"article","venue":"RAEL: revista electrónica de lingüística aplicada","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Lemma (botany); Humanities; Poetry; Artificial intelligence; Lexicography; Natural language processing; History; Computer science; Art; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005302069,0.0004726302,0.0008435341,0.00006867092,0.001140547,0.0008869712,0.0006700961,0.0001437246,0.0002761878],"category_scores_gemma":[0.001181673,0.0003527438,0.0004418133,0.0002974739,0.001013161,0.0001707604,0.0001697778,0.0007549086,0.00004420554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006638959,"about_ca_system_score_gemma":0.000171651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001395349,"about_ca_topic_score_gemma":0.00005635022,"domain_scores_codex":[0.9968371,0.0003745588,0.001013257,0.0005582829,0.0004811426,0.0007355993],"domain_scores_gemma":[0.9962646,0.001774384,0.0006406476,0.0005406511,0.0005523908,0.0002273017],"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":[0.0002812332,0.0001257597,0.0004741117,0.0006510582,0.0006644311,0.000007458059,0.07781427,0.00001338731,0.000591242,0.9049305,0.01191762,0.00252888],"study_design_scores_gemma":[0.0006837215,0.0007259363,0.0007359479,0.0004575825,0.0005468454,0.000002178431,0.00804216,0.001301003,0.001673314,0.0009525899,0.9843188,0.0005599153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6455737,0.15118,0.002072535,0.01870412,0.001102546,0.005041701,0.001087755,0.001107789,0.1741298],"genre_scores_gemma":[0.9931431,0.003113164,0.0001638276,0.001099656,0.001930316,0.00006362185,0.00003226439,0.00005058561,0.0004034127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9724012,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536193955316517,"score_gpt":0.2587672251489737,"score_spread":0.2334052855958085,"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."}}