{"id":"W33889378","doi":"10.1093/aobpla/plab011","title":"Img Tool : herramienta para el análisis forense de imágenes tomadas desde dispositivos móviles","year":2011,"lang":"en","type":"article","venue":"AoB Plants","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001137565,0.0002034366,0.0001826006,0.00006123436,0.0001131115,0.0001685969,0.0007627009,0.00007608458,0.00002833999],"category_scores_gemma":[0.00001454643,0.0001732657,0.00008927572,0.0001641297,0.00007939868,0.0007607003,0.0002883355,0.00008376231,0.0001965145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003345638,"about_ca_system_score_gemma":0.00006200734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003038642,"about_ca_topic_score_gemma":0.0001465932,"domain_scores_codex":[0.9986155,0.00003139347,0.0002141164,0.0003818856,0.0002503469,0.0005067774],"domain_scores_gemma":[0.9991706,0.00005353848,0.00007212859,0.0005085568,0.0000372518,0.0001579214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002229899,0.0009752586,0.1513235,0.00006562573,0.0002793913,0.001539141,0.01253539,0.00002214404,0.005077452,0.1783615,0.01490267,0.6346949],"study_design_scores_gemma":[0.001439506,0.0006133132,0.6902193,0.0002296623,0.00006220719,0.0010872,0.0005176879,0.007163,0.1819875,0.1060873,0.008785137,0.001808266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679919,0.0001269197,0.01210095,0.00006221821,0.000346289,0.0001323701,0.00006651166,0.0002078094,0.01896502],"genre_scores_gemma":[0.9923475,0.00002723995,0.006622077,0.0004517705,0.00006162559,0.00001707025,0.00001831213,0.00001411233,0.0004403111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6328866,"threshold_uncertainty_score":0.7065572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103648104921701,"score_gpt":0.2338647434137266,"score_spread":0.2028282623645096,"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."}}