{"id":"W2008441554","doi":"10.7202/004163ar","title":"Problems of Mining Terminology in India","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Syllabus; Hindi; Government (linguistics); Commission; Computer science; Subject (documents); Scientific terminology; Linguistics; Artificial intelligence; Library science; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03797249,0.0008631903,0.00204116,0.02850266,0.01497079,0.0224291,0.009574173,0.003801721,0.003868623],"category_scores_gemma":[0.1133769,0.001631923,0.001816488,0.05047399,0.0185343,0.02042558,0.01888558,0.00654449,0.00226751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01957123,"about_ca_system_score_gemma":0.02610013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0603175,"about_ca_topic_score_gemma":0.03736806,"domain_scores_codex":[0.9283139,0.02517761,0.0151906,0.006859152,0.02158313,0.002875672],"domain_scores_gemma":[0.8407339,0.09916586,0.01037501,0.0162035,0.03167723,0.001844463],"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":[0.00006209026,0.00003238202,0.004881601,0.00144521,0.0000601788,0.001531913,0.03305511,0.001365003,0.0005100618,0.7058749,0.04704225,0.2041393],"study_design_scores_gemma":[0.00002835673,0.0000423885,0.006500414,0.00284428,0.00008685744,0.003628834,0.05341458,0.004017895,0.001583128,0.4067708,0.520902,0.0001804105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1031624,0.08928172,0.2289185,0.2505725,0.008342897,0.001169594,0.006497256,0.002214213,0.3098409],"genre_scores_gemma":[0.580846,0.03992512,0.3057262,0.02400621,0.003973605,0.001654865,0.00751411,0.001664532,0.0346894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0603175,"threshold_uncertainty_score":0.2008201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250306469679962,"score_gpt":0.2409636595306077,"score_spread":0.1684605948338081,"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."}}