{"id":"W1969995880","doi":"10.7202/019874ar","title":"Proactive Description for Useful Applications: Researching Language Options for Better Translation Practice?*","year":2009,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interpretation (philosophy); Translation (biology); Duty; Process (computing); Natural language processing; Filter (signal processing); Descriptive research; Linguistics; Artificial intelligence; Sociology; Programming language; Political science","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":[0.02945674,0.000812698,0.0006569802,0.002422116,0.002768968,0.01688433,0.002881891,0.003133029,0.009412723],"category_scores_gemma":[0.04848691,0.0008366825,0.0005774805,0.004414449,0.008150006,0.0370473,0.004231236,0.002833551,0.002941622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004036764,"about_ca_system_score_gemma":0.008242722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762974,"about_ca_topic_score_gemma":0.002673137,"domain_scores_codex":[0.973046,0.0222524,0.0009326272,0.001303239,0.001767262,0.0006985101],"domain_scores_gemma":[0.9508348,0.03219042,0.003628792,0.006932315,0.00555749,0.000856174],"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":[0.0002133585,0.0005675881,0.009431585,0.002049475,0.00003752588,0.0006982528,0.2275069,0.0008956339,0.007194061,0.4648421,0.007841984,0.2787215],"study_design_scores_gemma":[0.0001415652,0.0005948687,0.006762642,0.002051211,0.00007123833,0.001138823,0.4788869,0.009209545,0.01052403,0.3035229,0.1869823,0.0001139345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3471549,0.006118034,0.3211302,0.09003633,0.0003882124,0.001195524,0.0003854748,0.001137881,0.2324535],"genre_scores_gemma":[0.8541262,0.003094531,0.1286487,0.001898984,0.00008033372,0.0008655357,0.0002432626,0.0003163627,0.0107261],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02945674,"threshold_uncertainty_score":0.1557841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08503600536652481,"score_gpt":0.3633176859029099,"score_spread":0.278281680536385,"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."}}