{"id":"W4230181058","doi":"10.1007/978-1-4419-6655-1_1","title":"Introduction","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in information security","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004505187,0.0002334077,0.0002366104,0.0003756869,0.0001350461,0.000199138,0.0008297297,0.000356383,0.0002195715],"category_scores_gemma":[0.00009711353,0.0002604468,0.00007524428,0.0001327032,0.00008528963,0.006421188,0.0002123584,0.001002095,0.0006433679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064676,"about_ca_system_score_gemma":0.00007912338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003787848,"about_ca_topic_score_gemma":0.00002262935,"domain_scores_codex":[0.9984041,0.00001561396,0.0006906948,0.0002979735,0.0003885239,0.0002031257],"domain_scores_gemma":[0.9983388,0.00008529046,0.0005379248,0.0007625281,0.0002154077,0.00006004133],"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":[0.000002849416,0.000006016195,0.000003387486,0.00004897057,0.000002636324,6.425607e-7,0.001077061,0.0000640305,0.000001207508,0.9482731,0.0007227591,0.04979733],"study_design_scores_gemma":[0.0001138771,0.0000131132,0.00001150595,0.00003005621,0.000001717438,0.00001355525,0.00001024027,0.003212732,0.00008672283,0.2268599,0.7694293,0.0002173098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00001679962,0.0007266392,0.2110734,0.001702046,0.004622538,0.0003314541,0.00001332057,0.0003421254,0.7811716],"genre_scores_gemma":[0.2116275,0.04483896,0.558394,0.01773384,0.0307503,0.000587196,0.003865171,0.0003621425,0.1318409],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7687065,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006337780090653601,"score_gpt":0.2359071172405594,"score_spread":0.2295693371499058,"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."}}