{"id":"W4382562896","doi":"10.4000/hommesmigrations.15520","title":"Le Bleu du caftan","year":2023,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"BLEU; Natural language processing; Computer science; Machine translation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002505834,0.0002003192,0.0002569061,0.0001258913,0.0005705804,0.0001600106,0.0002423187,0.0002317234,0.002772472],"category_scores_gemma":[0.0002253885,0.0002421493,0.0003143849,0.001145618,0.0001644646,0.0002339713,0.00008096929,0.0002690507,0.003176135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004912404,"about_ca_system_score_gemma":0.0002862664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003149988,"about_ca_topic_score_gemma":0.008222883,"domain_scores_codex":[0.9985114,0.00008821108,0.0003873082,0.0003333645,0.0002396777,0.0004400221],"domain_scores_gemma":[0.9988174,0.0003331981,0.0001011709,0.0004841145,0.0000933683,0.0001707215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004459181,0.0004224603,0.002947516,0.0005294968,0.0003268198,0.00007194568,0.003473785,0.0005759276,0.009335342,0.03480483,0.938424,0.009083442],"study_design_scores_gemma":[0.0005001202,0.00001672983,0.0005050881,0.0002784877,0.0003416595,0.00001403098,0.0116149,0.00356483,0.01183981,0.003003754,0.9679135,0.0004070604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6061959,0.1374857,0.0009756255,0.1662167,0.001490435,0.0001633044,0.001310331,0.001007485,0.08515455],"genre_scores_gemma":[0.5518637,0.008131078,0.0002676338,0.0006632449,0.001714814,0.00004322293,0.001122713,0.00004521288,0.4361483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509938,"threshold_uncertainty_score":0.9981391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526753148646795,"score_gpt":0.2781465938917035,"score_spread":0.2528790624052356,"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."}}