{"id":"W2963515066","doi":"10.1145/3209978.3210008","title":"SynTF","year":2018,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Commission","keywords":"Computer science; Information retrieval; Authorship attribution; Vector space model; Suspect; Task (project management); Term (time); Obfuscation; Identity (music); Stylometry; Contrast (vision); Data mining; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001468568,0.001751888,0.001253496,0.002638384,0.001995416,0.003901599,0.003057522,0.002557835,0.2365586],"category_scores_gemma":[0.004999822,0.0009918597,0.001388051,0.002443913,0.000842322,0.004441543,0.003899152,0.002185554,0.2268308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471984,"about_ca_system_score_gemma":0.002154326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218113,"about_ca_topic_score_gemma":0.003428758,"domain_scores_codex":[0.9979028,0.0002864616,0.0001750736,0.0005276644,0.0007875783,0.0003204142],"domain_scores_gemma":[0.9979261,0.0003863216,0.0001193573,0.0008197071,0.0006042066,0.0001442691],"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":[0.0005822465,0.0001566644,0.002199659,0.0008813133,0.00006980707,0.0005281602,0.0003771,0.002164926,0.0109697,0.06438972,0.6255641,0.2921166],"study_design_scores_gemma":[0.00007769296,0.0000743986,0.0007697984,0.0001122678,0.00002908023,0.0006256024,0.0001421998,0.007166673,0.008815902,0.02559859,0.9565353,0.0000524367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01210255,0.002310691,0.3067466,0.003063491,0.002634084,0.000720971,0.1072656,0.2438965,0.3212596],"genre_scores_gemma":[0.09507395,0.00198522,0.1956939,0.003194506,0.0008605554,0.001220808,0.3398724,0.04277418,0.3193245],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7634414,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695464514839649,"score_gpt":0.2845048336781714,"score_spread":0.257550188529775,"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."}}