{"id":"W4400471229","doi":"10.3384/ecp210012","title":"Analyses of information security standards on data crawled from company web sites using SweClarin resources","year":2024,"lang":"en","type":"article","venue":"Linköping electronic conference proceedings","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Computer science; Credibility; Reading (process); Knowledge management; Social media; Set (abstract data type); Data 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008845566,0.000234118,0.0003132369,0.0003830151,0.0001718445,0.001226756,0.001574492,0.0001307342,0.00006179402],"category_scores_gemma":[0.0001755672,0.0002155681,0.00007155651,0.0008305789,0.00006828541,0.004075498,0.0005633507,0.000575969,0.00002214334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196665,"about_ca_system_score_gemma":0.0009182631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000222461,"about_ca_topic_score_gemma":0.00004936416,"domain_scores_codex":[0.9977525,0.00002354609,0.0005876094,0.0004084189,0.0007739571,0.0004539288],"domain_scores_gemma":[0.9985456,0.0000899181,0.000270231,0.0004680418,0.0005442514,0.00008191395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001265802,0.0001223119,0.000772799,0.000848595,0.0004076436,0.000003101497,0.05523938,0.00009107671,0.03409793,0.8745441,0.00345172,0.03029473],"study_design_scores_gemma":[0.0002711816,0.000107517,0.00023922,0.0003694356,0.00004066636,0.00000576322,0.0004384776,0.9568454,0.01016824,0.01214779,0.01908671,0.0002795857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897014,0.0006560914,0.0928579,0.0009165891,0.0002249195,0.0003068592,0.0002149618,0.000705155,0.007103539],"genre_scores_gemma":[0.9974763,0.00008742281,0.002046799,0.00019428,0.00007506461,0.000005047208,0.00009656215,0.000007766024,0.00001079081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9567543,"threshold_uncertainty_score":0.99981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0553063492978226,"score_gpt":0.3303126388486359,"score_spread":0.2750062895508134,"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."}}