{"id":"W3171370311","doi":"10.3917/riges.462.0110","title":"Diagnostic – Le Panier bleu : se mesurer aux géants du Web","year":2021,"lang":"fr","type":"article","venue":"Gestion","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BLEU; Computer science; World Wide Web; Artificial intelligence; Information retrieval; Machine translation","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":[0.001754603,0.0008734991,0.0003185482,0.001942075,0.003530948,0.007987167,0.000760066,0.002453873,0.02177787],"category_scores_gemma":[0.009382551,0.0003656411,0.000365716,0.001384325,0.004309402,0.01066779,0.003919745,0.002883537,0.007369847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184771,"about_ca_system_score_gemma":0.001867114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085115,"about_ca_topic_score_gemma":0.01348489,"domain_scores_codex":[0.9983081,0.000659956,0.00005713228,0.0002434476,0.0005852968,0.0001461578],"domain_scores_gemma":[0.9968742,0.001017896,0.0002296935,0.0005490198,0.001005743,0.0003233946],"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":[0.0005528189,0.0001398134,0.01940573,0.0007058629,0.00006296238,0.004471038,0.1325614,0.0006823411,0.02574215,0.2794375,0.1265344,0.4097041],"study_design_scores_gemma":[0.000019125,0.00009862452,0.006176735,0.000547627,0.00003339772,0.00263241,0.04228869,0.001221617,0.008858335,0.0312985,0.9067351,0.0000899212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1933458,0.009607488,0.1357898,0.08086199,0.006958357,0.0003630823,0.001212223,0.006682113,0.5651791],"genre_scores_gemma":[0.6848741,0.003087299,0.05822037,0.00616143,0.0008202643,0.000129013,0.0005614834,0.001992883,0.2441532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02177787,"threshold_uncertainty_score":0.07285422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1854594207163666,"score_gpt":0.3016028715668831,"score_spread":0.1161434508505166,"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."}}