{"id":"W3032097118","doi":"","title":"Multilingual Corpus Creation for Multilingual Semantic Similarity Task","year":2020,"lang":"en","type":"article","venue":"Language Resources and Evaluation","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Task (project management); Semantic similarity; Similarity (geometry); Sentence; Focus (optics); Information retrieval","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":[0.003499199,0.001863358,0.001428389,0.00639136,0.003177388,0.003068524,0.001677516,0.001565221,0.02194257],"category_scores_gemma":[0.01147154,0.0006827826,0.001415061,0.003813209,0.000722763,0.005681304,0.005613738,0.002350845,0.01044275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120555,"about_ca_system_score_gemma":0.003872688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008061717,"about_ca_topic_score_gemma":0.008850508,"domain_scores_codex":[0.995864,0.001499945,0.0005469307,0.001022632,0.0007505556,0.0003159441],"domain_scores_gemma":[0.9937643,0.002313206,0.0001618377,0.001024896,0.002258626,0.0004771223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00235374,0.001643274,0.009811264,0.003140762,0.000514995,0.001891071,0.004350916,0.007965107,0.07819764,0.02039156,0.183147,0.6865927],"study_design_scores_gemma":[0.001172926,0.001591998,0.02421838,0.000684777,0.001488182,0.005081438,0.01224594,0.3211801,0.2338276,0.0311179,0.3667325,0.0006581331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3598339,0.003532889,0.4620368,0.001662439,0.002851008,0.00428038,0.06052716,0.04745438,0.05782105],"genre_scores_gemma":[0.4802123,0.0008964211,0.3586167,0.0004036339,0.0004634451,0.004078203,0.1349199,0.004525758,0.0158835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02194257,"threshold_uncertainty_score":0.07340527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04671167661381604,"score_gpt":0.3280433324245093,"score_spread":0.2813316558106933,"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."}}