{"id":"W6907820258","doi":"10.24433/co.0525147.v1","title":"COVID-19 Malicious Domain Names Classification","year":2022,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Domain (mathematical analysis); Code (set theory); Key (lock); Domain name; Identification (biology)","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":[0.002876243,0.00245773,0.00120848,0.005513715,0.001941524,0.003585714,0.002000222,0.001707719,0.08513031],"category_scores_gemma":[0.01646448,0.0006756216,0.001144649,0.004162596,0.0007033424,0.004820362,0.004183129,0.002570296,0.1510043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187681,"about_ca_system_score_gemma":0.003806727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039722,"about_ca_topic_score_gemma":0.01793125,"domain_scores_codex":[0.992896,0.0007367238,0.0005097424,0.001000217,0.00393023,0.0009270995],"domain_scores_gemma":[0.9894526,0.001434794,0.0009846686,0.003078356,0.003749368,0.001300226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008663524,0.0000347716,0.001570085,0.0001611411,0.00001023713,0.00002442492,0.00001903576,0.0003382349,0.0004895934,0.001556141,0.9872388,0.008470885],"study_design_scores_gemma":[0.0001458921,0.00009259582,0.009188625,0.0003753373,0.00003080889,0.0003191899,0.0002334379,0.01253389,0.01029019,0.007202415,0.9594612,0.0001264174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.006605623,0.0005327522,0.01415309,0.002204585,0.002480103,0.00084292,0.8329119,0.0706832,0.06958582],"genre_scores_gemma":[0.01211154,0.0001804915,0.008112836,0.0006367592,0.0001679623,0.0002954221,0.9576622,0.005800576,0.01503222],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08513031,"threshold_uncertainty_score":0.2847893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217496561256322,"score_gpt":0.3128766452259208,"score_spread":0.2707016796133576,"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."}}