{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009245538,0.0005792205,0.0004991871,0.0003525029,0.00046024,0.001165283,0.001890921,0.0003549923,0.0001286048],"category_scores_gemma":[0.0002238609,0.0005374082,0.00009170217,0.0004351609,0.0003991225,0.004483297,0.0006310113,0.001446152,0.0002089333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205363,"about_ca_system_score_gemma":0.0005382487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007262771,"about_ca_topic_score_gemma":0.07604381,"domain_scores_codex":[0.9960223,0.00002409347,0.00171274,0.0003124653,0.00117946,0.0007489388],"domain_scores_gemma":[0.9969951,0.0001724852,0.0007662626,0.0006485916,0.0009142373,0.0005033411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008080502,0.0002815047,0.001262212,0.000849693,0.0001329609,0.00001624519,0.2063247,0.0001172904,0.00003426026,0.6399192,0.1049851,0.04599604],"study_design_scores_gemma":[0.0004426094,0.0003210091,0.0002319229,0.0002792083,0.00003076567,0.0002695954,0.02846225,0.829168,0.01330897,0.04464796,0.08120644,0.001631251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6345792,0.000178312,0.1952433,0.006135755,0.04044283,0.003009475,0.0004327248,0.001443843,0.1185346],"genre_scores_gemma":[0.9892511,0.000933516,0.006204781,0.00298121,0.0001473777,0.00003356316,0.00002481428,0.00001985231,0.0004037647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8290507,"threshold_uncertainty_score":0.9998716,"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."}}