{"id":"W7110471467","doi":"","title":"French Science Diplomacy and International Science: A Scientometric Analysis","year":2023,"lang":"en","type":"article","venue":"E-LIS Repository (University of Naples Federico II)","topic":"International Science and Diplomacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diplomacy; International relations; Web of science; China; Citation; Scientometrics; State (computer science); Sociology of scientific knowledge","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01920355,0.0007963072,0.001807398,0.09641419,0.00189768,0.008126069,0.0009057416,0.001152159,0.007481941],"category_scores_gemma":[0.06689663,0.000222979,0.002746399,0.158357,0.001491823,0.003863866,0.002821138,0.0007805434,0.0009646427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006831308,"about_ca_system_score_gemma":0.004025477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03201722,"about_ca_topic_score_gemma":0.0103145,"domain_scores_codex":[0.9816139,0.00696499,0.001861432,0.001265259,0.006839965,0.001454582],"domain_scores_gemma":[0.9419385,0.03981831,0.00576392,0.002016576,0.009555206,0.0009074644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002876602,0.0001540276,0.7618954,0.002173263,0.001706209,0.0007785314,0.009196243,0.009760418,0.000281342,0.0255896,0.0223848,0.1657926],"study_design_scores_gemma":[0.00005059803,0.0002004457,0.8638034,0.0006718686,0.0006769328,0.0005972566,0.01388264,0.01646625,0.0003995446,0.007172489,0.0959651,0.0001134279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8502916,0.01366018,0.0084136,0.003305955,0.0002355233,0.0006602559,0.02774214,0.0004653147,0.09522542],"genre_scores_gemma":[0.9780371,0.003753731,0.003309942,0.0001381695,0.0002857437,0.0006557784,0.01138911,0.00008591831,0.002344537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9035858,"threshold_uncertainty_score":0.1015593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184367169436774,"score_gpt":0.3159094701977929,"score_spread":0.2940657985034251,"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."}}