{"id":"W3195270094","doi":"","title":"LibGuides: Cyber Forensic Analysis: Vancouver Referencing Style","year":2016,"lang":"en","type":"libguides","venue":"","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Forensic science; Computer science; Computer security; Criminology; Internet privacy; Data science; History; Psychology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003099381,0.0007219841,0.00109208,0.0007652168,0.0001463935,0.0007350774,0.002592637,0.0004764532,0.0004066493],"category_scores_gemma":[0.00008265891,0.0004708024,0.0008528571,0.001661529,0.0001434184,0.001470829,0.001300294,0.0003788492,0.0007490073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703508,"about_ca_system_score_gemma":0.0004230484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003109172,"about_ca_topic_score_gemma":0.003831457,"domain_scores_codex":[0.9957672,0.00006092019,0.0008825217,0.001373737,0.001026019,0.0008895832],"domain_scores_gemma":[0.9963316,0.0002249052,0.000466849,0.002248302,0.0004278245,0.0003005417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002250449,0.00002706882,0.00003990925,0.00002623581,0.0008958085,0.00004937193,0.0000962632,0.000007180404,0.000001939558,0.03380179,0.8721984,0.09285376],"study_design_scores_gemma":[0.0002985246,0.00008745833,0.0001102214,0.0002284301,0.0005292163,0.00001005869,0.00005034108,0.001038591,0.0002901682,0.03418507,0.96202,0.001151909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008948513,0.0004749285,0.1783071,0.0004960031,0.004328269,0.0002260738,0.0001193608,0.0009469921,0.8150118],"genre_scores_gemma":[0.01223783,0.0002765593,0.03666046,0.003734717,0.001485653,0.00005492117,0.0002043451,0.0001226214,0.9452229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1416466,"threshold_uncertainty_score":0.9997744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682232271485872,"score_gpt":0.2314923908227956,"score_spread":0.2146700681079369,"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."}}