{"id":"W4378418350","doi":"10.18280/ria.370230","title":"ConvNet Based Malicious URL Identification for Safer Use","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Identification (biology); Computer science; Computer security; Internet privacy; Biology","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":[0.0006729705,0.001209079,0.0009131129,0.002887672,0.0007441778,0.001785253,0.001298809,0.001215597,0.02158426],"category_scores_gemma":[0.003369752,0.0004443029,0.0006065689,0.0007319862,0.0004973282,0.00349363,0.002012741,0.001170598,0.01524073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007766378,"about_ca_system_score_gemma":0.001189339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00612288,"about_ca_topic_score_gemma":0.007493354,"domain_scores_codex":[0.9990287,0.0001281499,0.00006226437,0.000170266,0.0004517129,0.0001589094],"domain_scores_gemma":[0.9982729,0.0002177635,0.0002408634,0.0004381727,0.0006636919,0.0001666526],"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":[0.001371192,0.0006188449,0.01038284,0.0008613576,0.0001121026,0.001801248,0.0004662568,0.007752928,0.02642225,0.01447196,0.164605,0.7711341],"study_design_scores_gemma":[0.0002017247,0.0008982313,0.01685835,0.000821429,0.0002577937,0.003518127,0.0006432656,0.4550126,0.09952873,0.03729665,0.3846489,0.0003142414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1530255,0.008896306,0.3633019,0.005128884,0.002635772,0.001881771,0.01481719,0.2267045,0.2236082],"genre_scores_gemma":[0.7443616,0.003280815,0.138641,0.001763761,0.0004188029,0.0006670462,0.01650349,0.005025106,0.08933837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02158426,"threshold_uncertainty_score":0.07220656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0756388534898429,"score_gpt":0.292466342040692,"score_spread":0.2168274885508491,"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."}}