{"id":"W2886782706","doi":"10.1177/0163443718818379","title":"Bugging out: darknets as parasites of large-scale media objects","year":2018,"lang":"en","type":"article","venue":"Media Culture & Society","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Subject (documents); Data science; Diversity (politics); Scale (ratio); Computer science; Sociology; World Wide Web; Geography","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":[0.001633911,0.0005697357,0.0003405379,0.00226941,0.003402153,0.005694683,0.000793964,0.001802476,0.003330785],"category_scores_gemma":[0.009213734,0.0005413417,0.0003669233,0.001036569,0.01313549,0.01419916,0.005201437,0.002245072,0.0004732064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392674,"about_ca_system_score_gemma":0.0006851289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345313,"about_ca_topic_score_gemma":0.002055063,"domain_scores_codex":[0.9988318,0.0005414571,0.00003388315,0.000154977,0.0002761637,0.0001616751],"domain_scores_gemma":[0.9930167,0.003220434,0.001712878,0.00091176,0.0006023343,0.000535881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004351493,0.00002468694,0.007868532,0.00007321528,0.00001354966,0.0009190774,0.02428658,0.001199366,0.002320101,0.9393555,0.004222405,0.01967353],"study_design_scores_gemma":[0.00004660857,0.0001985514,0.01466214,0.0005086079,0.00009024,0.005345896,0.05708411,0.04538289,0.00644777,0.646753,0.2233006,0.0001795838],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5878006,0.00339477,0.2291112,0.02088597,0.0006340222,0.000214168,0.0001902174,0.0008523602,0.1569168],"genre_scores_gemma":[0.9729055,0.0007319001,0.01572724,0.0007979371,0.0001527884,0.00007683597,0.00004976208,0.0001177285,0.009440389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005694683,"threshold_uncertainty_score":0.01114261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009713176910768296,"score_gpt":0.2796613278798989,"score_spread":0.2699481509691307,"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."}}