{"id":"W3102818033","doi":"10.4018/ijdcf.2021010101","title":"Drone Forensics","year":2020,"lang":"en","type":"article","venue":"International Journal of Digital Crime and Forensics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College; Ontario Tech University","funders":"","keywords":"Drone; Law enforcement; Computer science; Hacker; Computer security; Digital forensics; Internet privacy; Crime scene; Criminology; Law; Political science; Sociology","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":[0.001235666,0.0006268809,0.0004836704,0.004093469,0.001387093,0.002127342,0.00105029,0.001833401,0.01096119],"category_scores_gemma":[0.005233455,0.0003262264,0.0004573364,0.001496375,0.0009837792,0.003263929,0.002421372,0.0009635437,0.004317645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726431,"about_ca_system_score_gemma":0.0009466562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009918611,"about_ca_topic_score_gemma":0.001265664,"domain_scores_codex":[0.9985021,0.0002644411,0.00007883245,0.0002439586,0.0007523239,0.0001584291],"domain_scores_gemma":[0.9974698,0.000684111,0.0002865097,0.0007974656,0.0006861672,0.00007583523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004976157,0.0002442486,0.007905559,0.001194448,0.0001322061,0.003546066,0.001485995,0.00901982,0.04719228,0.05637661,0.04769192,0.8247132],"study_design_scores_gemma":[0.0001093484,0.000427101,0.01427751,0.00183839,0.0001346395,0.01984259,0.004502487,0.1352454,0.1997011,0.07908297,0.5445647,0.0002737845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867932,0.01446242,0.5903707,0.004722654,0.002227624,0.001473875,0.007320637,0.007936032,0.1846928],"genre_scores_gemma":[0.7242715,0.008168516,0.2273406,0.001118307,0.0003465192,0.0003246349,0.006127207,0.000503455,0.03179933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01096119,"threshold_uncertainty_score":0.0366689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052047443153359,"score_gpt":0.2264494657686514,"score_spread":0.1959289913371178,"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."}}