{"id":"W1997648388","doi":"10.1109/asonam.2012.239","title":"Lessons from a Jihadi Corpus","year":2012,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Deception; Rank (graph theory); Ranking (information retrieval); Computer science; Process (computing); Natural language processing; Artificial intelligence; Factor (programming language); Psychology; Social psychology; Mathematics; Programming language","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":[0.00550975,0.0004560285,0.0004527172,0.003893099,0.002393638,0.003288904,0.001146878,0.001418791,0.006020168],"category_scores_gemma":[0.04030873,0.0004405626,0.0002874306,0.0054066,0.00180719,0.003540298,0.001852169,0.001940455,0.00187581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347782,"about_ca_system_score_gemma":0.001100574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664105,"about_ca_topic_score_gemma":0.03881834,"domain_scores_codex":[0.9980751,0.001040912,0.00013873,0.0002634618,0.0003831993,0.0000985003],"domain_scores_gemma":[0.9510427,0.04042082,0.0009137887,0.00310435,0.003822814,0.0006955935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000662968,0.0008551576,0.1018895,0.00239296,0.0002020402,0.003966836,0.08936345,0.005145479,0.01052207,0.09125797,0.2041585,0.4895829],"study_design_scores_gemma":[0.0002116673,0.0001576591,0.2443789,0.002042115,0.0001395855,0.002230812,0.06041606,0.02786733,0.006900587,0.1156967,0.5397179,0.0002407447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767776,0.00852262,0.04508901,0.06054831,0.002072425,0.0003958481,0.02752329,0.001202579,0.07786829],"genre_scores_gemma":[0.8927174,0.003788364,0.06438438,0.002912265,0.001478144,0.0004762309,0.02232002,0.0008092081,0.01111402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664105,"threshold_uncertainty_score":0.03308839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07617170086621515,"score_gpt":0.3223950401989654,"score_spread":0.2462233393327502,"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."}}