{"id":"W2965105243","doi":"10.7202/1061814ar","title":"La nouvelle carte du monde : bienvenue au XXIe siècle1","year":2019,"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":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001468372,0.0005225306,0.0004033277,0.000933485,0.01084655,0.009966227,0.0005775242,0.002198228,0.01261117],"category_scores_gemma":[0.00265232,0.0003239586,0.000261872,0.001284958,0.01301812,0.005459974,0.004453051,0.003726553,0.001921485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007472131,"about_ca_system_score_gemma":0.004670965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04741305,"about_ca_topic_score_gemma":0.09536923,"domain_scores_codex":[0.9985683,0.0006221269,0.00003681713,0.0002398856,0.0002901716,0.0002426933],"domain_scores_gemma":[0.9992813,0.0002567136,0.00006863303,0.00008110581,0.000148187,0.000164082],"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":[0.00007873613,0.00001210536,0.001559718,0.000195942,0.000008477428,0.0003184575,0.07188793,0.00007606851,0.0004365534,0.7495936,0.1359788,0.03985363],"study_design_scores_gemma":[0.000001673122,0.000007665201,0.0006838656,0.0001405263,0.000001640701,0.00009303902,0.005162963,0.00002640536,0.00008060977,0.01137254,0.9824221,0.000007001818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03824529,0.1836884,0.005297605,0.1360911,0.01153221,0.00005113645,0.0002999157,0.0001414517,0.6246529],"genre_scores_gemma":[0.4794443,0.03781082,0.002346271,0.009065086,0.002581833,0.00007574,0.0001169477,0.0002739536,0.4682851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04741305,"threshold_uncertainty_score":0.09427416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0766866388255665,"score_gpt":0.3239360162425688,"score_spread":0.2472493774170023,"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."}}