{"id":"W2497768360","doi":"10.1007/978-3-642-32009-5","title":"Advances in Cryptology – CRYPTO 2012","year":2012,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cryptography; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102326,0.001514186,0.001012292,0.002155781,0.001263185,0.005168435,0.0009438885,0.001332257,0.04596599],"category_scores_gemma":[0.003355503,0.0006468678,0.0004625198,0.003698617,0.001505146,0.008476029,0.001702922,0.004882935,0.03099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212559,"about_ca_system_score_gemma":0.001917799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005777439,"about_ca_topic_score_gemma":0.000749399,"domain_scores_codex":[0.9990593,0.0001799457,0.00005108722,0.0001417584,0.0004683525,0.00009950274],"domain_scores_gemma":[0.9986866,0.0003766143,0.00009447188,0.0003676277,0.0003289023,0.0001456293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009546903,0.00006628605,0.0001425066,0.0004191114,0.00002382401,0.00005704175,0.00004991419,0.001335204,0.000841849,0.1369573,0.4434003,0.4166113],"study_design_scores_gemma":[0.00003681709,0.00004275821,0.0003595484,0.000255343,0.0000200075,0.000397099,0.00002785298,0.002984054,0.001161988,0.1000688,0.8946218,0.00002411238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005643828,0.1205738,0.0870423,0.03011247,0.03163959,0.0001967215,0.001211038,0.002454042,0.7211263],"genre_scores_gemma":[0.0837008,0.08506968,0.0392912,0.003755746,0.02448642,0.000197062,0.002245109,0.001360109,0.7598939],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04596599,"threshold_uncertainty_score":0.1537716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930620209121197,"score_gpt":0.3187969559404289,"score_spread":0.2994907538492169,"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."}}