{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001350132,0.00002396088,0.00002385657,0.00001700819,0.00006280756,0.00003778176,0.000246986,0.00001146829,0.0002382127],"category_scores_gemma":[0.00002225038,0.00001891975,0.00001144488,0.000133784,0.00001889925,0.0001249596,0.00007281901,0.00002402718,0.001689556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004758098,"about_ca_system_score_gemma":0.00001245671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002890959,"about_ca_topic_score_gemma":0.000001406348,"domain_scores_codex":[0.9997073,0.00001367624,0.00004293796,0.00009107782,0.00005755597,0.00008742932],"domain_scores_gemma":[0.9997357,0.00001700489,0.000008909255,0.0001677111,0.00003602952,0.00003468924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.162045e-7,0.00000309851,0.0003876058,4.112898e-7,9.46453e-7,6.474368e-7,0.000097576,9.163863e-8,0.0002918049,0.9754167,0.002134057,0.02166675],"study_design_scores_gemma":[0.0003079446,0.0002530488,0.009443466,0.00001211047,0.000002569338,0.00003553872,0.0000492921,0.1218557,0.2750071,0.09256982,0.5000317,0.0004317146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003417851,0.000006745659,0.9098802,0.0009919797,0.0002868177,0.00001538464,7.637041e-8,0.0001840109,0.08521697],"genre_scores_gemma":[0.9395141,3.416037e-7,0.0567597,0.0007315793,0.00008623254,6.805623e-7,1.438756e-7,8.933625e-7,0.002906333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9360963,"threshold_uncertainty_score":0.9990878,"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."}}