{"id":"W7100079131","doi":"","title":"Example-based Translation without Parallel Corpora: First experiments on a prototype","year":2008,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noun phrase; Translation (biology); Machine translation; Sentence; Noun; Metis; Conjunction (astronomy); Line (geometry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004092164,0.00150109,0.001657186,0.0007710474,0.001212642,0.00179275,0.004025081,0.003246007,0.01515486],"category_scores_gemma":[0.02122999,0.001043768,0.000685252,0.002742274,0.001171095,0.005974055,0.002742596,0.001895927,0.006377207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000661584,"about_ca_system_score_gemma":0.0009250397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246865,"about_ca_topic_score_gemma":0.004043061,"domain_scores_codex":[0.9954881,0.002349897,0.0005597818,0.0007233014,0.0007206413,0.0001582083],"domain_scores_gemma":[0.9814174,0.01279051,0.0003724066,0.002886426,0.002058483,0.0004747541],"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":[0.01392119,0.01235777,0.005039141,0.01505198,0.001359523,0.006703305,0.0158865,0.03924719,0.1803651,0.006763409,0.07509375,0.6282111],"study_design_scores_gemma":[0.02076711,0.0191585,0.02378614,0.0008490146,0.002048597,0.00813203,0.011437,0.3943346,0.3580213,0.01294266,0.1476351,0.0008878761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8153194,0.001737263,0.1230787,0.001108425,0.0005309397,0.003747382,0.006050234,0.03058505,0.01784259],"genre_scores_gemma":[0.5722795,0.0009356626,0.393339,0.0005873243,0.0001467559,0.001804273,0.01658594,0.004289033,0.01003254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515486,"threshold_uncertainty_score":0.0506981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07750123563541172,"score_gpt":0.2988195897476851,"score_spread":0.2213183541122734,"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."}}