{"id":"W2991402562","doi":"10.1108/sl-10-2019-0154","title":"Benefits and pitfalls of a CEO’s personal Twitter messaging","year":2019,"lang":"en","type":"article","venue":"Strategy and Leadership","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Reputation; Originality; Business; Value (mathematics); Public relations; Social media; Marketing; Sociology; Computer science; World Wide Web; Political science","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":[0.0003426506,0.00006235825,0.00009862817,0.00004677341,0.0001125101,0.0000589703,0.00006324986,0.00005124802,0.0002375714],"category_scores_gemma":[0.0000111324,0.00005913587,0.00002057286,0.00007651507,0.0001389992,0.0001477339,0.00002074992,0.00008300203,0.00001619084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006073418,"about_ca_system_score_gemma":0.00002208676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569858,"about_ca_topic_score_gemma":0.0002622415,"domain_scores_codex":[0.9994137,0.00004828797,0.00007738244,0.0001449668,0.00011938,0.0001962509],"domain_scores_gemma":[0.9998043,0.00005116766,0.00003099416,0.00004391108,0.00001952678,0.00005008261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004666815,0.00004210756,0.4833128,0.0004418014,0.00007530267,0.000003539019,0.1429991,0.000006456965,0.0003788108,0.345482,0.0006770557,0.02653445],"study_design_scores_gemma":[0.001576268,0.0002138164,0.416196,0.0004554885,0.00008325763,0.000002105382,0.5569081,0.0003114493,0.0002967077,0.004804275,0.01847877,0.0006736989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.786386,0.001725173,0.000002134735,0.0006927257,0.00004588859,0.00008247785,5.208792e-7,0.00001403725,0.2110511],"genre_scores_gemma":[0.9869661,0.00006299064,0.00001176111,0.0001035298,0.00006413231,0.000001311468,8.188064e-7,0.000004152967,0.01278521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.413909,"threshold_uncertainty_score":0.2601241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1710191477381112,"score_gpt":0.3021107981102326,"score_spread":0.1310916503721214,"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."}}