{"id":"W2209426633","doi":"","title":"Port4NooJ: Portuguese Linguistic Module and Bilingual Resources for Machine Translation","year":2008,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Division of Mathematical Sciences; York University","keywords":"Machine translation; Linguistics; Computer science; Portuguese; Natural language processing; Artificial intelligence; Brazilian Portuguese; Translation (biology); Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00193505,0.002135433,0.00121316,0.003407082,0.00178468,0.003329141,0.002063498,0.001294268,0.06543859],"category_scores_gemma":[0.007718636,0.001228383,0.001208914,0.00381753,0.0006223856,0.005030382,0.003216261,0.001351517,0.03408871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000952905,"about_ca_system_score_gemma":0.00279286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005738318,"about_ca_topic_score_gemma":0.005990691,"domain_scores_codex":[0.9983525,0.0006323642,0.0002228019,0.0003676227,0.0002498981,0.0001747857],"domain_scores_gemma":[0.9978644,0.0006889247,0.0001177861,0.0006626711,0.0005127479,0.0001535758],"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":[0.003341285,0.0005106737,0.001698941,0.003177383,0.000211068,0.001343382,0.00166901,0.005238705,0.03754956,0.0479368,0.2615244,0.6357988],"study_design_scores_gemma":[0.0007236,0.0003843436,0.003185005,0.0006853822,0.0003475648,0.001237264,0.0006931624,0.05837723,0.09690821,0.04388533,0.7932825,0.0002904051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03204581,0.001356013,0.6285737,0.001257203,0.0009789491,0.001607859,0.06658365,0.1641969,0.1034],"genre_scores_gemma":[0.1687981,0.001031827,0.5993847,0.0006213541,0.0004253495,0.001401097,0.14198,0.04240672,0.04395103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06543859,"threshold_uncertainty_score":0.2189139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585206333101426,"score_gpt":0.2437289108420761,"score_spread":0.2278768475110619,"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."}}