{"id":"W2100049937","doi":"10.5539/mas.v9n1p129","title":"Presenting a Fuzzy System for Identifying Persian Advertising Websites","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Persian; Key (lock); Download; Advertising; World Wide Web; The Internet; Feature (linguistics); Sentence; Identification (biology); Web page; Liberian dollar; Software; Information retrieval; Internet privacy; Business; Computer security; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648647,0.000433135,0.0005335415,0.0007699681,0.0007808395,0.001258494,0.0007836878,0.001004361,0.002572512],"category_scores_gemma":[0.001190511,0.0002426475,0.0005089054,0.0003841012,0.0004274058,0.0005325089,0.0004064971,0.000548907,0.0006936772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006974164,"about_ca_system_score_gemma":0.0007070683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006833858,"about_ca_topic_score_gemma":0.005335833,"domain_scores_codex":[0.9996721,0.00005604069,0.00003635997,0.0000987576,0.00009753399,0.00003928504],"domain_scores_gemma":[0.9995934,0.0001775813,0.00003220533,0.0000275666,0.000151124,0.00001810046],"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":[0.000968338,0.000322894,0.007486159,0.0008965904,0.0002449173,0.001371755,0.001365113,0.231712,0.1184928,0.02406267,0.005368744,0.6077082],"study_design_scores_gemma":[0.00004389373,0.0002535607,0.002132999,0.00007332528,0.0001214079,0.0002601264,0.0001713742,0.9693165,0.01766374,0.00521717,0.004693194,0.00005264551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05128437,0.0005841409,0.93917,0.0002178115,0.000098786,0.0002075613,0.0001557122,0.002025385,0.00625622],"genre_scores_gemma":[0.7247439,0.0003452291,0.2701716,0.0001169389,0.00005208248,0.0002327713,0.0001652347,0.00002357139,0.004148727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006833858,"threshold_uncertainty_score":0.01358813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222074570236968,"score_gpt":0.2514820625016703,"score_spread":0.2292746054779735,"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."}}