{"id":"W4388494671","doi":"10.2139/ssrn.4623645","title":"Communities of Inquiry for Offenders: Learning Malware Development on Asynchronous Platforms","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Simon Fraser University","funders":"","keywords":"Asynchronous communication; Malware; Asynchronous learning; Computer science; Computer security; Internet privacy; Mathematics education; Data science; Psychology; Computer network; Synchronous learning; Teaching method; Cooperative learning","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":[0.002283031,0.0006203974,0.0003394403,0.001496079,0.001732175,0.002650985,0.001225435,0.001871532,0.003806891],"category_scores_gemma":[0.025584,0.0002749678,0.0003492141,0.001035616,0.001022275,0.007229622,0.003117399,0.002134105,0.001011326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196079,"about_ca_system_score_gemma":0.001215387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570183,"about_ca_topic_score_gemma":0.003386013,"domain_scores_codex":[0.9986999,0.0005598209,0.0000451,0.0002985841,0.0002911651,0.0001053569],"domain_scores_gemma":[0.9808705,0.01416741,0.001370484,0.001042921,0.001088382,0.001460256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001048578,0.003367669,0.2526289,0.0004295047,0.00009691659,0.0008877547,0.02620108,0.01361673,0.006934016,0.04857813,0.02428471,0.621926],"study_design_scores_gemma":[0.0002234895,0.001787895,0.06587214,0.000444187,0.0001576708,0.00161667,0.05237952,0.4293247,0.01562702,0.3749236,0.05748895,0.0001541719],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8393242,0.00074215,0.136241,0.004580155,0.0001136273,0.000283563,0.0003638561,0.001238852,0.01711268],"genre_scores_gemma":[0.9454373,0.0002341578,0.04991944,0.0001658158,0.00005170884,0.0001064485,0.0002843672,0.00008575723,0.003714985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003806891,"threshold_uncertainty_score":0.01273531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06210749459462066,"score_gpt":0.3072775267729306,"score_spread":0.24517003217831,"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."}}