{"id":"W4231731629","doi":"10.1163/ej.9789004169005.i-250.53","title":"Appendices","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002025109,0.0001623793,0.0002288155,0.0000617132,0.0005576814,0.00005908049,0.0002301984,0.0002719603,0.009167082],"category_scores_gemma":[0.00002064797,0.0001541886,0.0001433857,0.00001780279,0.000333218,0.00007522877,0.00004381939,0.0002113104,0.001467058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000598112,"about_ca_system_score_gemma":0.00009896552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008022641,"about_ca_topic_score_gemma":0.02261318,"domain_scores_codex":[0.9989962,0.00001385008,0.0001389039,0.0002243236,0.0004031724,0.0002235477],"domain_scores_gemma":[0.9995886,0.00005278733,0.00007776742,0.0001393735,0.00005661156,0.00008483928],"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":[0.000001331801,0.000004006396,0.000001875969,0.000002520693,0.000026585,0.000008290174,0.004348909,1.564857e-8,3.158768e-8,0.8917893,0.05117088,0.05264631],"study_design_scores_gemma":[0.0000298744,0.00001155711,0.000008838068,0.0000279805,0.00002192517,2.548867e-7,0.0009817104,2.443782e-8,2.031068e-7,0.2030997,0.7956537,0.0001642556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002137892,0.001534131,0.000002661952,0.002972374,0.0002634896,0.000145644,0.000007197326,0.0001808595,0.9948915],"genre_scores_gemma":[0.002344308,0.002842632,0.0000467217,0.0006221805,0.000691209,0.000001414489,0.000007273141,0.00001149822,0.9934328],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7444828,"threshold_uncertainty_score":0.9993104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612412936269415,"score_gpt":0.2893933921589014,"score_spread":0.2632692627962073,"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."}}