{"id":"W1996634473","doi":"10.7202/002754ar","title":"La fonction heuristique de la traduction","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foregrounding; Linguistics; Reflexive pronoun; Computer science; Source text; Translation (biology); Natural language processing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002634329,0.001473296,0.0007702546,0.001985622,0.002407449,0.009491486,0.001075051,0.001793234,0.04855164],"category_scores_gemma":[0.006840729,0.0004613907,0.001029499,0.002644316,0.009322604,0.007224811,0.001754706,0.004167313,0.02369564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004583853,"about_ca_system_score_gemma":0.002186776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01293648,"about_ca_topic_score_gemma":0.006031149,"domain_scores_codex":[0.9965898,0.00148013,0.0001661544,0.0006103806,0.0009346022,0.0002189199],"domain_scores_gemma":[0.9969087,0.001449142,0.0002404416,0.0007633411,0.0005054161,0.0001329294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001699715,0.00002820484,0.001004225,0.0003721568,0.00004000196,0.0006889972,0.005672473,0.0005073365,0.003554009,0.7715473,0.03226618,0.1841491],"study_design_scores_gemma":[0.00002567761,0.00004347097,0.001885577,0.0001194578,0.00001088524,0.001385392,0.0006123249,0.00039551,0.001462677,0.02553134,0.9684846,0.00004300387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02799835,0.02033727,0.06793246,0.01283624,0.006439427,0.0001228797,0.001287173,0.003576385,0.8594698],"genre_scores_gemma":[0.4866055,0.01587805,0.03493994,0.002568587,0.006417871,0.0001662931,0.00106229,0.003629494,0.448732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04855164,"threshold_uncertainty_score":0.1624215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05536247013861979,"score_gpt":0.2742495757426996,"score_spread":0.2188871056040798,"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."}}