{"id":"W4395097934","doi":"10.1007/978-3-031-57537-2_11","title":"Web Scams Detection System","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"IBM (Canada); University of Ottawa","funders":"","keywords":"Computer science; Blacklist; Web crawler; World Wide Web; Web page; Sample (material); Information retrieval; Search engine; Web search engine; Focus (optics); Web application; Web search query","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":[0.000313398,0.0006120551,0.0006592651,0.002387003,0.0004707385,0.0008135895,0.0005462801,0.0005682687,0.01450494],"category_scores_gemma":[0.000689038,0.0002197153,0.0002434124,0.0005013107,0.0001066457,0.0007425277,0.0004350436,0.0003979543,0.01353859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934442,"about_ca_system_score_gemma":0.0003330961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734537,"about_ca_topic_score_gemma":0.001900595,"domain_scores_codex":[0.9996592,0.00003019453,0.00002151429,0.00008763162,0.0001718007,0.0000295734],"domain_scores_gemma":[0.9992004,0.00009058792,0.0000840928,0.0001683174,0.0003786395,0.00007794933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001048835,0.0009036097,0.02709468,0.0003259068,0.000131473,0.0006756761,0.0001122784,0.004102643,0.05457379,0.001771142,0.2179243,0.6913357],"study_design_scores_gemma":[0.0002764525,0.0009241265,0.08377825,0.0001656698,0.0003716564,0.003069379,0.0001482038,0.5504323,0.1715732,0.004027882,0.1850471,0.0001858276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.2027993,0.002169054,0.2695852,0.0007729753,0.00060183,0.001780136,0.01123284,0.3939013,0.1171574],"genre_scores_gemma":[0.7554111,0.0006050175,0.08410783,0.0009447177,0.0003866061,0.0004351872,0.01466994,0.001767421,0.1416722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01450494,"threshold_uncertainty_score":0.04852384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113260271485098,"score_gpt":0.2169327144850456,"score_spread":0.2056066873365358,"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."}}