{"id":"W1985658871","doi":"10.1108/14720701211275541","title":"The role of information and communication technologies on moral agents and governance in society","year":2012,"lang":"en","type":"article","venue":"Corporate Governance","topic":"Social Media and Politics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Corporate governance; Information and Communications Technology; Project governance; Public relations; Value (mathematics); Government (linguistics); Originality; Presumption; Context (archaeology); Business; Political science; Sociology; Knowledge management; Social science; Qualitative research; Law","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":[0.0002742374,0.0000481269,0.00007036253,0.000004436516,0.0002077548,0.00002733611,0.000141155,0.00007217782,0.00000133854],"category_scores_gemma":[0.0003242534,0.0000395597,0.00001128899,0.0001332176,0.0004906144,0.0004095625,0.0000533357,0.00009857737,0.000002799511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006682161,"about_ca_system_score_gemma":0.0000407804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179828,"about_ca_topic_score_gemma":0.0003712159,"domain_scores_codex":[0.9994565,0.00004879337,0.0001257872,0.00003940809,0.0001667323,0.000162789],"domain_scores_gemma":[0.9993256,0.0001581435,0.0003432459,0.0001143951,0.00003379422,0.00002479574],"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":[0.000007063144,0.0000113567,0.3862208,0.000005799023,0.000002728444,2.847097e-8,0.0125589,6.549698e-7,0.00001815951,0.5540631,0.0005455936,0.04656591],"study_design_scores_gemma":[0.0002625565,0.0000278653,0.7377733,0.00006547972,0.000005238001,2.519823e-7,0.03260422,0.0001170665,0.0009093424,0.05547909,0.1726395,0.0001161053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894823,0.003970843,0.000002261717,0.00174485,0.000109345,0.0001344505,0.00001700596,0.00002234313,0.004516553],"genre_scores_gemma":[0.9841101,0.01559022,0.0001311909,0.00008138795,0.00002187807,0.00001113053,0.00000131794,0.000002145531,0.00005069213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.498584,"threshold_uncertainty_score":0.1807689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398907259547886,"score_gpt":0.2720401154231309,"score_spread":0.2380510428276521,"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."}}