{"id":"W3109183898","doi":"10.48550/arxiv.2012.01107","title":"Retracing the Flow of the Stream: Investigating Kodi Streaming Services","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Computer science; The Internet; World Wide Web; Android (operating system); Multimedia; Open source; Software; Internet privacy; Operating system","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":[0.0009036784,0.0003402754,0.0002978406,0.001628747,0.001140905,0.001790303,0.0005474772,0.0008535481,0.001353894],"category_scores_gemma":[0.006858907,0.0001873083,0.0001981653,0.001210758,0.001083837,0.002225364,0.0008836814,0.0009709908,0.0005721322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006886579,"about_ca_system_score_gemma":0.0005919481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004069579,"about_ca_topic_score_gemma":0.00392641,"domain_scores_codex":[0.9993691,0.0001243936,0.00003289166,0.0001014517,0.0002766075,0.00009559063],"domain_scores_gemma":[0.9968463,0.001312648,0.0005039867,0.000453918,0.0006896971,0.0001934216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002365983,0.001576103,0.1728134,0.0009174426,0.00009961475,0.01444793,0.03063761,0.01357051,0.1648452,0.03052283,0.01630535,0.551898],"study_design_scores_gemma":[0.0001494474,0.002255148,0.1786285,0.0006520712,0.0002576914,0.0147384,0.03623742,0.380785,0.2730962,0.02313217,0.0897725,0.0002955238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573948,0.0005260498,0.0293732,0.0006717194,0.0001357793,0.0003114527,0.0003933772,0.0008968926,0.0102967],"genre_scores_gemma":[0.9619886,0.0004727436,0.03343073,0.0001478202,0.00005597066,0.00004193232,0.0004121665,0.0001184241,0.00333157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004069579,"threshold_uncertainty_score":0.008091748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05530500942406116,"score_gpt":0.1649125135767694,"score_spread":0.1096075041527082,"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."}}