{"id":"W3004302778","doi":"","title":"Critical Infrastructure – Identification and Protection","year":2019,"lang":"en","type":"article","venue":"Nauchni trudove","topic":"Healthcare, Law, Governance, and Management Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critical infrastructure; Critical infrastructure protection; Identification (biology); Czech; Business; Risk analysis (engineering); Computer security; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041288,0.0001277991,0.0002063133,0.00006638078,0.0005280376,0.00001683985,0.00008353143,0.0001866653,0.0002750274],"category_scores_gemma":[0.0005370912,0.0001129197,0.00003016674,0.0001532217,0.00006735462,0.0002346737,0.0001048896,0.000357237,0.0003467496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360214,"about_ca_system_score_gemma":0.00006195229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002729755,"about_ca_topic_score_gemma":0.0001374783,"domain_scores_codex":[0.9985285,0.0001726824,0.0003591499,0.0003286217,0.0002469302,0.0003640775],"domain_scores_gemma":[0.9991252,0.0001611899,0.0001971492,0.0002650054,0.0001675135,0.00008392626],"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":[0.0003499579,0.0001360821,0.2763407,0.007327637,0.0001365692,0.000008770167,0.0122861,0.000008314059,0.008990254,0.4522697,0.1191167,0.1230292],"study_design_scores_gemma":[0.0008118359,0.000116573,0.6992933,0.000200094,0.00003056373,0.000001349492,0.003248256,0.0002606357,0.00008323282,0.01538688,0.2803377,0.0002296132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885198,0.0006506881,0.01152455,0.01751993,0.005142261,0.004981789,0.00007013878,0.0004429581,0.07446971],"genre_scores_gemma":[0.9890852,0.0002592487,0.0002167156,0.001715959,0.0003116154,0.0002392797,0.000006603975,0.00001892299,0.008146461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4368828,"threshold_uncertainty_score":0.460473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836576317267485,"score_gpt":0.3904910675777488,"score_spread":0.3621253044050739,"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."}}