{"id":"W6939513989","doi":"10.6084/m9.figshare.21805425.v1","title":"Phishing Detection using Decision Tree Model","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Phishing; Trojan; Decision tree; Order (exchange); Tree (set theory); Private information retrieval; Malware; Resource (disambiguation)","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":[0.001319639,0.0007563229,0.00145562,0.001965638,0.0005235932,0.001252611,0.001162402,0.001196026,0.003067236],"category_scores_gemma":[0.003162799,0.0003550803,0.001016981,0.001491332,0.0002580576,0.001041916,0.0003907756,0.001378591,0.0009053375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009621255,"about_ca_system_score_gemma":0.0009505596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482684,"about_ca_topic_score_gemma":0.007494841,"domain_scores_codex":[0.9991611,0.0002223725,0.00007724128,0.000177667,0.0001992439,0.000162442],"domain_scores_gemma":[0.9979327,0.001281435,0.0001670161,0.00004792719,0.0004914217,0.00007947203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008215793,0.0007479991,0.02524738,0.0002540064,0.000257282,0.0004848432,0.0001075385,0.708717,0.001480749,0.004666609,0.00996686,0.2472482],"study_design_scores_gemma":[0.000007608277,0.00003689782,0.0005586419,0.000008647073,0.00001294429,0.00002401147,0.000007929054,0.9976846,0.0001359161,0.001287197,0.0002314393,0.00000423447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3359444,0.004709342,0.6378996,0.003271438,0.0005831099,0.0004054409,0.003215898,0.003099159,0.01087167],"genre_scores_gemma":[0.9460549,0.0009359683,0.04603964,0.0002367665,0.0001745938,0.0001431609,0.002294383,0.00003323055,0.004087264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01482684,"threshold_uncertainty_score":0.02948105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050726567472302,"score_gpt":0.292185476122148,"score_spread":0.1871128193749178,"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."}}