{"id":"W3185818274","doi":"10.5539/cis.v14n3p63","title":"Targeting Reputation: A New Vector for Attacks to Critical Infrastructures","year":2021,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reputation; Social media; Customer base; Revenue; Business; Visibility; Marketing; Computer science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006522327,0.00005629121,0.00007183301,0.0001295065,0.0007809068,0.000986943,0.0001509748,0.00003128723,0.0001177919],"category_scores_gemma":[0.002262984,0.00005308664,0.00001879811,0.0006347009,0.0001708388,0.006710893,0.00007122177,0.00004223903,0.00003142679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004306972,"about_ca_system_score_gemma":0.000733391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002035542,"about_ca_topic_score_gemma":0.000003830137,"domain_scores_codex":[0.9990259,0.00001699309,0.0002375831,0.00009724832,0.0003862525,0.0002359806],"domain_scores_gemma":[0.9988224,0.000123547,0.0000489815,0.00008193843,0.0005878771,0.0003352716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001337836,0.000007400241,0.0001187254,0.00004288601,0.000003096065,3.706848e-7,0.2079609,0.001323876,0.0001971806,0.4267834,0.09761219,0.2659366],"study_design_scores_gemma":[0.000508179,0.0001047721,0.02135054,0.00004744375,0.0000052445,0.00001190184,0.01129431,0.04531144,0.000837847,0.003470353,0.9167502,0.0003077856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01803225,0.00002226863,0.955849,0.008403784,0.00102044,0.0002478484,0.0000086328,0.00007259561,0.01634319],"genre_scores_gemma":[0.8264225,0.0000280425,0.1576745,0.01507064,0.0005766714,0.00000383329,0.00001972005,0.000003034245,0.0002010215],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.819138,"threshold_uncertainty_score":0.9517114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563186662899362,"score_gpt":0.3672313422404541,"score_spread":0.3415994756114604,"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."}}