{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006781379,0.00007914063,0.0001254495,0.00002494064,0.00002980755,0.0001953828,0.0001691235,0.00003050911,0.00008813777],"category_scores_gemma":[0.00008402414,0.00005696884,0.00007168142,0.00005026516,0.00006636132,0.000578746,0.00001469976,0.0001194719,0.00003536819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002500622,"about_ca_system_score_gemma":0.00002449947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106685,"about_ca_topic_score_gemma":0.00001015067,"domain_scores_codex":[0.9992833,0.000007374904,0.0002288685,0.00007783999,0.000304569,0.00009807896],"domain_scores_gemma":[0.9994445,0.00004611659,0.0001178371,0.00002915031,0.0002088375,0.0001535828],"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":[0.0003373559,0.00001593657,0.3310342,0.00001402272,0.0002125172,0.0003339282,0.001125666,0.0002119155,0.00009869619,0.000638257,0.009397864,0.6565796],"study_design_scores_gemma":[0.004061022,0.003418692,0.8364986,0.0002118544,0.0001403241,0.002186952,0.003877632,0.00869194,0.002408192,0.05580626,0.0815871,0.001111503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705312,0.0006321045,0.00161724,0.002367332,0.0008792437,0.00004063659,0.0001458092,0.00001621855,0.02377022],"genre_scores_gemma":[0.9981171,0.00004947471,0.0006177064,0.0006560796,0.000445834,2.282676e-8,0.00003487468,0.000002473787,0.00007642716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554681,"threshold_uncertainty_score":0.2323122,"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."}}