{"id":"W2029195448","doi":"10.1016/s1353-4858(12)70083-1","title":"Seek and destroy","year":2012,"lang":"en","type":"article","venue":"Network Security","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Falling (accident); Computer security; Plan (archaeology); Computer science; Face (sociological concept); Data loss; Risk analysis (engineering); Business; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001381229,0.00006945799,0.0000724025,0.000008089485,0.00006302881,0.00009035083,0.0001795603,0.00003155737,0.000003990558],"category_scores_gemma":[0.000004990872,0.00006061903,0.00002152598,0.0001357608,0.00004088236,0.000581135,0.000212209,0.00007379468,0.00004203656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006512415,"about_ca_system_score_gemma":0.000008184866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004550363,"about_ca_topic_score_gemma":0.000005211406,"domain_scores_codex":[0.9993808,0.00001636974,0.00006965647,0.000119616,0.00009822382,0.0003153388],"domain_scores_gemma":[0.9996052,0.00002818257,0.00002216321,0.0001903125,0.00001505856,0.0001390402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002393371,0.00006110391,0.04583891,0.000007554643,0.00001030855,0.000004171176,0.0009663921,0.00001316646,0.000002237472,0.8420267,0.03374356,0.07732353],"study_design_scores_gemma":[0.0003718297,0.0001062429,0.08027764,0.0000298237,0.00001252767,0.0001124657,0.00002766401,0.0108158,0.0001547572,0.5079836,0.3995806,0.000527071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661943,0.004624045,0.05713181,0.0008995438,0.002115163,0.0001962832,0.000004017182,0.0005060454,0.1683288],"genre_scores_gemma":[0.9946769,0.0000169245,0.004312681,0.0005268109,0.0003842209,0.000002083412,0.000001221951,0.000003285427,0.00007588516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.365837,"threshold_uncertainty_score":0.2471972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006707237306591471,"score_gpt":0.1942944214897419,"score_spread":0.1875871841831504,"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."}}