{"id":"W4413678893","doi":"10.7202/1119066ar","title":"Comment nos collections peuvent‑elles aider à prémunir contre la désinformation ?","year":2025,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03880118,0.0008042165,0.001069631,0.009735608,0.01551221,0.03680574,0.002898048,0.004216068,0.02985789],"category_scores_gemma":[0.1225893,0.001211706,0.0008579199,0.01362036,0.02013967,0.03667704,0.0117613,0.006188501,0.01127737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01256307,"about_ca_system_score_gemma":0.0228539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108577,"about_ca_topic_score_gemma":0.03574275,"domain_scores_codex":[0.9454793,0.02983247,0.002975677,0.003816978,0.01592477,0.001970813],"domain_scores_gemma":[0.8839943,0.04932598,0.008895029,0.02714827,0.02697309,0.003663249],"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":[0.0002290195,0.0001821391,0.006081942,0.001380003,0.00009997124,0.0005160437,0.1038594,0.0003282349,0.002961044,0.595198,0.04472876,0.2444354],"study_design_scores_gemma":[0.00006738472,0.0001059594,0.004081019,0.001255878,0.00008454043,0.0004242764,0.03903449,0.0003400494,0.004950627,0.06449074,0.8850515,0.0001134546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.06303421,0.01478175,0.07877709,0.1273731,0.004198196,0.001104509,0.0009078505,0.001461689,0.7083616],"genre_scores_gemma":[0.5550128,0.01439244,0.08892512,0.01140633,0.002940564,0.001291334,0.0008944075,0.00184162,0.3232954],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9631943,"threshold_uncertainty_score":0.2052027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08525080932372545,"score_gpt":0.3622804100510126,"score_spread":0.2770296007272872,"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."}}