{"id":"W3049247491","doi":"10.17352/tcsit.000016","title":"The increasing frequency of president donald trump’s social communications: Is there a limit?","year":2020,"lang":"en","type":"article","venue":"Trends in Computer Science and Information Technology","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Limit (mathematics); Political science; Telecommunications; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275429,0.00005667287,0.00009157091,0.0001583945,0.0003601997,0.00008873054,0.0006131252,0.00003575457,0.000007959638],"category_scores_gemma":[0.00001253343,0.0000447902,0.000020508,0.0009481219,0.0006935387,0.0007833981,0.0003159108,0.0001335602,0.000002673581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001619812,"about_ca_system_score_gemma":0.00006671075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389007,"about_ca_topic_score_gemma":0.000006211152,"domain_scores_codex":[0.9993733,0.00001763423,0.0002652417,0.00007727226,0.0001411079,0.0001254581],"domain_scores_gemma":[0.9994834,0.0000374808,0.0001520853,0.0001828676,0.0001214887,0.00002269158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002364598,0.0000102101,0.01761835,0.000003483544,0.000005157703,2.6108e-8,0.002958514,0.000009426349,0.00003158093,0.3589236,0.0001229023,0.6203144],"study_design_scores_gemma":[0.001423853,0.0003715639,0.2587161,0.00009781201,0.00001718567,0.000003488985,0.0056039,0.5426759,0.001560766,0.1638268,0.02508675,0.0006158216],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787495,0.0002277769,0.0177919,0.09678881,0.0001354649,0.0001961563,0.00003323174,0.00007612466,0.006001065],"genre_scores_gemma":[0.9964528,0.00004077816,0.002949611,0.0005205329,0.00002187722,0.000008513762,0.000003386723,0.000001311631,0.00000116872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6196986,"threshold_uncertainty_score":0.2770401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953262317806058,"score_gpt":0.2824304688857291,"score_spread":0.2628978457076685,"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."}}