{"id":"W1229193984","doi":"10.1007/978-3-642-23141-4_9","title":"The Proactive and Reactive Digital Forensics Investigation Process: A Systematic Literature Review","year":2011,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Digital forensics; Process (computing); Computer science; Digital evidence; Computer forensics; Automation; Data science; Computer security; Engineering","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0008098993,0.0002344684,0.0002926055,0.0002689557,0.0005136153,0.00196397,0.00204662,0.00008771038,1.915174e-7],"category_scores_gemma":[0.000146713,0.0001603413,0.00003982687,0.0005213773,0.001410142,0.01424202,0.001457092,0.0003889498,0.00001277793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006981002,"about_ca_system_score_gemma":0.0002356083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.968409e-7,"about_ca_topic_score_gemma":0.000002656246,"domain_scores_codex":[0.9984488,0.00002720527,0.0006552423,0.0002599768,0.0004239989,0.0001847651],"domain_scores_gemma":[0.9968312,0.0002500777,0.0005328092,0.00149303,0.0007895245,0.0001033385],"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":[0.000001187442,0.00000451505,0.000005103485,0.002697862,0.00001100675,3.683334e-7,0.00438404,6.392872e-7,5.39932e-8,0.8612807,0.0001098582,0.1315046],"study_design_scores_gemma":[0.0003892843,0.0002336564,0.0003869926,0.1012243,0.00006684188,0.0004606353,0.0001745437,0.05221223,0.00001782462,0.8174722,0.0262403,0.001121244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00005226646,0.06394983,0.09991734,0.003939998,0.000546863,0.004996579,0.00007016459,0.0002810912,0.8262458],"genre_scores_gemma":[0.1382982,0.7234958,0.1046483,0.01702494,0.0002431107,0.001639999,0.0008033674,0.0001246941,0.01372159],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8125243,"threshold_uncertainty_score":0.9995453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621813476351388,"score_gpt":0.248797007134284,"score_spread":0.2225788723707701,"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."}}