{"id":"W4383046931","doi":"","title":"Polyphonic contents and monophonic core - Comparing Chinese diplomatic Twitter accounts in Ottawa and Brussels for use for public diplomacy","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polyphony; Diplomacy; Core (optical fiber); Public diplomacy; Political science; Computer science; Telecommunications; Art; Law; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001839639,0.0002218045,0.000295432,0.0002175634,0.0003442923,0.001142967,0.001158432,0.00007726717,0.000007920279],"category_scores_gemma":[0.001448169,0.0002088576,0.00007001861,0.000433936,0.0002482563,0.001192008,0.0007512952,0.0001278942,0.000007108688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005644239,"about_ca_system_score_gemma":0.00007065118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003156484,"about_ca_topic_score_gemma":0.003251905,"domain_scores_codex":[0.9979649,0.0005208468,0.0004315756,0.0005175484,0.000184236,0.0003809551],"domain_scores_gemma":[0.995401,0.002088953,0.0002391514,0.001385199,0.0007149189,0.0001707881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007317021,0.001252934,0.2805736,0.0003532231,0.0001342332,0.000003477319,0.02547382,0.00000215775,0.008515381,0.5966001,0.0007897672,0.08622817],"study_design_scores_gemma":[0.007915423,0.00001356527,0.5461269,0.001330527,0.0000353839,0.00005338551,0.0004296278,0.3870924,0.004949003,0.02835342,0.02243398,0.001266406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666312,0.0005041685,0.1237679,0.002600614,0.00005594164,0.0007290976,0.00001729975,0.0001437284,0.005550059],"genre_scores_gemma":[0.9576812,0.00007535566,0.04059101,0.0003587458,0.000008631706,0.0001225876,0.00005063473,0.00002479587,0.001087017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5682466,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0398359802235367,"score_gpt":0.2711612546763948,"score_spread":0.2313252744528581,"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."}}