{"id":"W7098089710","doi":"","title":""In Search of Terms: An Empirical Approach to Lexicography" In Search of Terms: An Empirical Approach","year":2015,"lang":"en","type":"article","venue":"","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Empirical research; Work (physics); Order (exchange); Empirical evidence","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":[0.02862741,0.000390206,0.0007785347,0.01374251,0.004647238,0.009785539,0.001549217,0.001990164,0.008958519],"category_scores_gemma":[0.1421963,0.000605819,0.0005665138,0.02313451,0.01778491,0.02274713,0.006788868,0.002718806,0.001462746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006520809,"about_ca_system_score_gemma":0.006243892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366371,"about_ca_topic_score_gemma":0.01683164,"domain_scores_codex":[0.9540869,0.0346205,0.003304271,0.001979987,0.005014496,0.0009937915],"domain_scores_gemma":[0.7903242,0.1767175,0.01120903,0.004598198,0.0156159,0.001535265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004951672,0.00037377,0.09300065,0.002008164,0.0000789595,0.0007291085,0.4616732,0.0007868198,0.002033961,0.3667671,0.007381418,0.0646717],"study_design_scores_gemma":[0.0001424633,0.0002007253,0.06105546,0.001680519,0.0001001291,0.001004647,0.6977993,0.006727521,0.002401405,0.1697499,0.05899433,0.000143586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7637719,0.003708828,0.06361179,0.01323905,0.0001786304,0.001468535,0.001550488,0.0001101685,0.1523606],"genre_scores_gemma":[0.974897,0.001067152,0.01803057,0.000653375,0.0000505251,0.0007394557,0.0006378079,0.0001090789,0.00381501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02862741,"threshold_uncertainty_score":0.151398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3480086064851375,"score_gpt":0.3980991775126925,"score_spread":0.05009057102755493,"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."}}