{"id":"W922504128","doi":"","title":"Representing and Publishing Cyber Forensic Data and its Provenance Metadata: From Open to Closed Consumption","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metadata; Computer science; World Wide Web; Identifier; RDF; Process (computing); Resource (disambiguation); Data science; Semantic Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0169114,0.0004770615,0.0007685031,0.006606712,0.002579856,0.0153761,0.001763403,0.001976618,0.002370486],"category_scores_gemma":[0.04962286,0.0009987259,0.001014949,0.008878649,0.004902578,0.03275247,0.01008173,0.003177277,0.00127182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940221,"about_ca_system_score_gemma":0.005685718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005841387,"about_ca_topic_score_gemma":0.005030891,"domain_scores_codex":[0.9880271,0.00414121,0.002016934,0.001307556,0.004085301,0.0004219936],"domain_scores_gemma":[0.9434473,0.01368926,0.00379747,0.02845249,0.008952923,0.001660635],"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":[0.0007248495,0.0004806486,0.01855252,0.001093163,0.0001599701,0.001973913,0.01601977,0.01173094,0.0108153,0.5638314,0.0214074,0.35321],"study_design_scores_gemma":[0.000084325,0.0001610472,0.005619855,0.002278897,0.0002625938,0.001467602,0.009216548,0.0613616,0.03114386,0.4766081,0.4115301,0.0002654832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06240803,0.003489387,0.8872958,0.00984909,0.0007218858,0.0008674294,0.006098575,0.005510274,0.02375958],"genre_scores_gemma":[0.4418185,0.005798053,0.5254461,0.001333089,0.000633224,0.0004626075,0.01394829,0.002018513,0.008541618],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9846239,"threshold_uncertainty_score":0.08943713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189318021321093,"score_gpt":0.3224783365739225,"score_spread":0.2035465344418132,"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."}}