{"id":"W285170020","doi":"","title":"IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, BC, Canada, May 23-26, 2010, Proceedings","year":2010,"lang":"en","type":"article","venue":"Intelligence and Security Informatics","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Informatics; Computer security; Data science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001264748,0.000999565,0.0009309142,0.001510754,0.001435288,0.003762909,0.0009207578,0.0007313445,0.04807831],"category_scores_gemma":[0.001480925,0.0003508499,0.000391359,0.00160405,0.0007841266,0.001442218,0.001134649,0.001666034,0.02432601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002637436,"about_ca_system_score_gemma":0.006810843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.136813,"about_ca_topic_score_gemma":0.3496253,"domain_scores_codex":[0.9995022,0.0000546261,0.00001914271,0.00005320412,0.0002650487,0.0001057953],"domain_scores_gemma":[0.9986369,0.00007713481,0.00001987829,0.0001151359,0.0008961613,0.0002547638],"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":[0.0001461791,0.0001638729,0.002013681,0.0001498438,0.0000340751,0.0001186876,0.0001765959,0.0005970528,0.002869652,0.003187511,0.800402,0.1901408],"study_design_scores_gemma":[0.00003190823,0.00008250107,0.009277159,0.0002340396,0.00009154079,0.0003712805,0.0008801503,0.01007489,0.005482949,0.004911571,0.968523,0.00003908587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05622329,0.07106186,0.1423431,0.02533881,0.03956408,0.0006267126,0.009394465,0.0117963,0.6436514],"genre_scores_gemma":[0.06418617,0.02577224,0.03070709,0.001070777,0.001263443,0.000100982,0.01434685,0.0007925018,0.8617599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.136813,"threshold_uncertainty_score":0.2720334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334615741760132,"score_gpt":0.2562934049540389,"score_spread":0.2329472475364375,"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."}}