{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009968816,0.0004985404,0.0003894616,0.001140287,0.008456563,0.004132839,0.0004696109,0.001490404,0.03081214],"category_scores_gemma":[0.001923839,0.0003196899,0.0003510796,0.0006984802,0.003300359,0.002586359,0.002738149,0.003095446,0.004230866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860992,"about_ca_system_score_gemma":0.002145403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233547,"about_ca_topic_score_gemma":0.04373131,"domain_scores_codex":[0.9993109,0.0001531732,0.00001964193,0.0001184549,0.0002400834,0.0001577869],"domain_scores_gemma":[0.999341,0.00009914768,0.00006862692,0.00006218708,0.0002306321,0.0001983819],"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":[0.0009611081,0.0001525752,0.01266843,0.001009405,0.00008596428,0.004949859,0.08193065,0.0001765807,0.02122078,0.2782428,0.3351138,0.2634881],"study_design_scores_gemma":[0.000005022192,0.00005095021,0.003420994,0.0001642821,0.000006236251,0.0005214769,0.008388044,0.0000278006,0.001052044,0.001464382,0.9848768,0.00002199981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1736174,0.02664124,0.004326816,0.05064843,0.01710728,0.0001563204,0.0005693744,0.0004064958,0.7265267],"genre_scores_gemma":[0.3739124,0.007415083,0.003383434,0.005415383,0.001308663,0.00006866645,0.0001858866,0.0006216179,0.607689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03081214,"threshold_uncertainty_score":0.1030769,"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."}}