{"id":"W1543116020","doi":"","title":"Web-based inference detection","year":2007,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Inference; Salient; Information retrieval; Identification (biology); Web application; Data science; Data mining; Artificial intelligence; World Wide Web","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":[0.01429224,0.001190541,0.001682869,0.00969508,0.001427167,0.005859466,0.00372874,0.002221305,0.00554397],"category_scores_gemma":[0.09779859,0.0008605681,0.001259746,0.004239505,0.001395974,0.00709903,0.003349358,0.002730297,0.002809496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643687,"about_ca_system_score_gemma":0.002448516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004468136,"about_ca_topic_score_gemma":0.003992239,"domain_scores_codex":[0.9745339,0.005423717,0.0022902,0.004396348,0.01256462,0.0007912283],"domain_scores_gemma":[0.8664294,0.08622798,0.01254468,0.0206467,0.01308846,0.001062846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009511001,0.0005093159,0.06002844,0.0009614106,0.0004613363,0.001492337,0.002032486,0.02356987,0.02318838,0.06880824,0.02927141,0.7887257],"study_design_scores_gemma":[0.00008441694,0.0001301088,0.01403872,0.0001563424,0.0002058056,0.00141948,0.0003974907,0.7648615,0.09124108,0.08214045,0.04515519,0.0001694419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03564144,0.0005536286,0.923868,0.000713699,0.0001628184,0.0005473198,0.002803654,0.02843341,0.007275953],"genre_scores_gemma":[0.4399524,0.0004272469,0.5419997,0.0006459935,0.0003146054,0.0006410272,0.006592902,0.002058989,0.007367108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01429224,"threshold_uncertainty_score":0.07558548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315902922342352,"score_gpt":0.3023352610639297,"score_spread":0.2691762318405062,"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."}}