{"id":"W3094561734","doi":"10.7764/onomazein.49.09","title":"Presente y futuro de la base de conocimiento terminológica EcoLexicon","year":2020,"lang":"es","type":"article","venue":"Onomázein Revista de lingüística filología y traducción","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Philosophy; Lexicon; Computer science; 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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008609387,0.0008580135,0.001187933,0.0001818976,0.001109573,0.001764394,0.0009426052,0.0005415902,0.001697545],"category_scores_gemma":[0.002695597,0.0008451743,0.0004998951,0.00009775092,0.00180133,0.0001223074,0.0003985202,0.001292956,0.0002579224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030119,"about_ca_system_score_gemma":0.0007392845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001669872,"about_ca_topic_score_gemma":0.00001653035,"domain_scores_codex":[0.9951344,0.0008099714,0.001054214,0.001135206,0.000258461,0.001607729],"domain_scores_gemma":[0.9961199,0.001724391,0.0004856873,0.0006746178,0.0002099165,0.0007855562],"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":[0.0004531134,0.0007261212,0.03351805,0.001424281,0.0009865341,0.001789052,0.02210386,0.00005221311,0.0005647965,0.8960181,0.03844827,0.003915646],"study_design_scores_gemma":[0.001480097,0.0008328093,0.006227143,0.0003866516,0.000975586,0.00008660013,0.001500401,0.003817386,0.0005363333,0.002609747,0.9804875,0.001059778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953318,0.01149728,0.00102773,0.0265189,0.001538581,0.001635207,0.001867882,0.0007849397,0.1597976],"genre_scores_gemma":[0.9841664,0.001764789,0.001864746,0.004953586,0.005255048,0.0001049974,0.00008379851,0.0001395959,0.001667018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9420392,"threshold_uncertainty_score":0.9993999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482950244218105,"score_gpt":0.2788698486160644,"score_spread":0.2440403461738833,"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."}}