{"id":"W7036915857","doi":"","title":"A cross-cultural apparatus or the translators dialogue (translation and interpretations of a Romani tale)","year":2006,"lang":"fr","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word-sense disambiguation; Linguistic analysis; Digital humanities","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004016974,0.0006190363,0.0007494318,0.000574014,0.00161618,0.0005509926,0.0006804824,0.0009955072,0.001110766],"category_scores_gemma":[0.0008813508,0.0003861599,0.0002489903,0.0009701768,0.001688087,0.003135629,0.0001970064,0.001246404,0.0001885517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259877,"about_ca_system_score_gemma":0.00111471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435633,"about_ca_topic_score_gemma":0.02040174,"domain_scores_codex":[0.9953865,0.0008458951,0.001834512,0.0004866365,0.0007330934,0.0007133156],"domain_scores_gemma":[0.9962007,0.0006898613,0.001226476,0.000662929,0.001041151,0.0001788429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007170188,0.0004910012,0.005920654,0.013383,0.000638672,0.00002932089,0.2337983,0.00106581,0.002498274,0.1119324,0.2818704,0.3476551],"study_design_scores_gemma":[0.001099716,0.00009924005,0.006539214,0.003774288,0.0001723064,0.00003416634,0.001736327,0.001702696,0.0009883506,0.0006117366,0.9826211,0.0006208134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007060267,0.001293107,0.2034657,0.004337107,0.002365669,0.025064,0.001462037,0.0003765348,0.7545756],"genre_scores_gemma":[0.5781691,0.00273859,0.04627535,0.003199772,0.0006160953,0.01158277,0.002290206,0.0003275184,0.3548006],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7007508,"threshold_uncertainty_score":0.999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404610429274533,"score_gpt":0.3608491447163011,"score_spread":0.3203881017888478,"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."}}