{"id":"W4384257230","doi":"10.1515/9780773596108-002","title":"Note on Terminology","year":2014,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Computer science; Linguistics; 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":[0.00005575331,0.0005236557,0.0006430029,0.0002832947,0.0009276552,0.00004582287,0.0004733639,0.0004116264,0.0002369298],"category_scores_gemma":[0.00002297952,0.0005227034,0.0002582894,0.000001613671,0.0009085272,0.00002416433,0.0004612253,0.0006085686,0.0001613708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221764,"about_ca_system_score_gemma":0.00002328127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005067974,"about_ca_topic_score_gemma":0.00000965662,"domain_scores_codex":[0.9984987,0.0000407247,0.0002437394,0.000606296,0.0002071944,0.0004032921],"domain_scores_gemma":[0.9986139,0.0001814345,0.0002949927,0.0005798474,0.0002291261,0.0001006982],"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":[0.0000632643,0.00001263157,6.14388e-7,0.00005157803,0.0002477555,0.0003559359,0.0006457515,6.813169e-7,2.104911e-7,0.9855079,0.01058884,0.002524847],"study_design_scores_gemma":[0.0004828001,0.0002358347,0.000002167945,0.0001139941,0.0002921883,0.000002060461,0.00004182273,0.000003195566,0.00002432455,0.00587563,0.9923754,0.0005505506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006005518,0.000001621473,0.000006859595,0.0001794379,0.001295247,0.0002418962,0.0006497456,0.0002233014,0.9973959],"genre_scores_gemma":[0.009256147,0.00006007837,0.00002611883,0.0005459946,0.0008542871,0.000001361507,0.00004988571,0.00006613662,0.98914],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9817866,"threshold_uncertainty_score":0.9997225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033341586546381,"score_gpt":0.2126968748036435,"score_spread":0.1793552882572625,"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."}}