{"id":"W2361863006","doi":"","title":"The Application of the Association Rules Technology in Crime Forensics","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Association rule learning; Association (psychology); Relation (database); Computer forensics; Theory of relativity; Computer security; Data mining; Digital forensics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012878,0.001085072,0.001851005,0.009087399,0.0016301,0.00495463,0.002119549,0.002166092,0.002224436],"category_scores_gemma":[0.03732385,0.001041916,0.002184424,0.007566968,0.00311167,0.005781499,0.001864309,0.002932734,0.001967278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009938703,"about_ca_system_score_gemma":0.002191186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298234,"about_ca_topic_score_gemma":0.001349994,"domain_scores_codex":[0.9869502,0.005764787,0.001143755,0.001765659,0.004085817,0.0002897595],"domain_scores_gemma":[0.9657722,0.02444963,0.001718525,0.00334687,0.004280049,0.0004327673],"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":[0.0003517974,0.0004587235,0.01271121,0.0007589622,0.0008576305,0.001708711,0.0006641035,0.04009772,0.006050541,0.2035002,0.01211839,0.720722],"study_design_scores_gemma":[0.0001429975,0.0004390211,0.007351791,0.0005612076,0.000644617,0.003916484,0.0004063919,0.4336578,0.01750824,0.4676497,0.06734218,0.0003796683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007195273,0.002348145,0.9829552,0.001045529,0.0003353395,0.0001749905,0.0002897406,0.001183021,0.004472854],"genre_scores_gemma":[0.1203907,0.004063235,0.8704028,0.0006084206,0.0005809564,0.0003530878,0.0006371893,0.0001224967,0.00284115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.012878,"threshold_uncertainty_score":0.06810617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003787753469424389,"score_gpt":0.2150765733059923,"score_spread":0.2112888198365679,"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."}}