{"id":"W7077903352","doi":"10.48448/zyk6-vj62","title":"Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs","year":2025,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Machine translation; Task (project management); Translation (biology); Unsupervised learning; Word (group theory); BLEU","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661787,0.001243318,0.001234317,0.001349783,0.0008301,0.0009733884,0.00151067,0.001266857,0.001996257],"category_scores_gemma":[0.008323918,0.000440537,0.00105387,0.00133437,0.0006666419,0.002202355,0.001779904,0.001401311,0.00235288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003969381,"about_ca_system_score_gemma":0.001115255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555489,"about_ca_topic_score_gemma":0.004302153,"domain_scores_codex":[0.9980478,0.0009542721,0.0001727286,0.00047053,0.0002731686,0.00008143156],"domain_scores_gemma":[0.9962291,0.001972078,0.0002569765,0.0008203884,0.0006446372,0.00007672462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000620373,0.0004540411,0.006214419,0.0005981996,0.0002039922,0.0005204385,0.0005507064,0.08732137,0.03683561,0.00544229,0.01566003,0.8455786],"study_design_scores_gemma":[0.0000957598,0.0001775773,0.001233822,0.00004771737,0.00006352582,0.0003446135,0.0002143741,0.9448096,0.03105895,0.01357346,0.008345587,0.00003508567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1041881,0.001399018,0.8747795,0.0005764868,0.0001702162,0.0002500139,0.001258234,0.01452205,0.002856344],"genre_scores_gemma":[0.4295022,0.0003052355,0.5584945,0.0005181117,0.0001328955,0.0004977066,0.007456502,0.0006948789,0.002397976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001996257,"threshold_uncertainty_score":0.008788526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562179347362058,"score_gpt":0.2499795409563736,"score_spread":0.234357747482753,"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."}}