{"id":"W4408773747","doi":"10.3390/info16040257","title":"Optimizing Contextonym Analysis for Terminological Definition Writing","year":2025,"lang":"en","type":"article","venue":"Information","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Linguistics; Computer science; Natural language processing; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009764194,0.00006150135,0.0001295568,0.0002218548,0.0003740397,0.000152619,0.00005257343,0.00003440559,0.00005600955],"category_scores_gemma":[0.0001576286,0.00005185244,0.00008280456,0.00004380266,0.00007890644,0.0002344105,0.00002559889,0.00004284473,0.00001632701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001793187,"about_ca_system_score_gemma":0.000009609349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002358664,"about_ca_topic_score_gemma":0.00006043771,"domain_scores_codex":[0.9995325,0.000006391309,0.0002557845,0.00005335181,0.00004057718,0.0001113953],"domain_scores_gemma":[0.9995229,0.0001170809,0.00008504551,0.00006368764,0.0002025539,0.000008713736],"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":[0.00001093177,0.000008870587,0.0008493638,0.00002801946,0.0002150518,2.322645e-7,0.005882039,0.00003380225,9.984346e-7,0.9821383,0.0006905044,0.01014192],"study_design_scores_gemma":[0.001630166,0.0001659147,0.008937717,0.00008086004,0.001339925,0.000001249431,0.02059318,0.0214518,0.0001843223,0.06857889,0.8765878,0.00044816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1027417,0.0001690581,0.05984082,0.001152374,0.001147339,0.0004522012,0.0001558509,0.0002468634,0.8340937],"genre_scores_gemma":[0.9974503,0.000008370984,0.001133874,0.000799654,0.0001008378,0.00005370186,0.0001396417,0.000001282069,0.0003123349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9135594,"threshold_uncertainty_score":0.2876849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08820234775365367,"score_gpt":0.2861525938495597,"score_spread":0.197950246095906,"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."}}