{"id":"W2071294154","doi":"10.7202/004608ar","title":"Basic Concepts of MT","year":2002,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009801779,0.0003429747,0.0006691708,0.000253424,0.0002481652,0.000440495,0.001594108,0.0001646144,0.001472037],"category_scores_gemma":[0.0003664192,0.0002827137,0.0005313677,0.0009187356,0.0007953785,0.001891989,0.0001346771,0.0009324243,0.00006033207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009484177,"about_ca_system_score_gemma":0.00007162627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003951194,"about_ca_topic_score_gemma":0.000005965036,"domain_scores_codex":[0.997113,0.0005170255,0.0007290252,0.0003740123,0.0006530964,0.0006138264],"domain_scores_gemma":[0.9979525,0.0001787354,0.0005654807,0.0005085537,0.0004934982,0.0003013006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007250765,0.0003315667,0.0001091392,0.0001910213,0.0005844068,0.0004630839,0.001590146,0.0000132816,0.005056353,0.06256213,0.01066975,0.9184219],"study_design_scores_gemma":[0.001207495,0.001576443,0.0004277296,0.001179336,0.002550131,0.01798633,0.00006124221,0.008678215,0.1268699,0.5355636,0.3026066,0.001293008],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.003864905,0.7101033,0.2796442,0.004143718,0.001629089,0.00009217537,0.000007540749,0.0000931667,0.000421875],"genre_scores_gemma":[0.1749817,0.0736182,0.7337325,0.0006568468,0.0007684812,0.000005879085,7.543122e-7,0.00005906873,0.01617658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9171289,"threshold_uncertainty_score":0.9999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06451204117336859,"score_gpt":0.3027918405419113,"score_spread":0.2382797993685427,"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."}}