{"id":"W7024714244","doi":"","title":"SPMSoft - New Speech Privacy Measurement Software","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Measure (data warehouse); Information privacy; Field (mathematics); Confidentiality","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003839502,0.0001424704,0.0001798302,0.00007450913,0.00008119789,0.0001835931,0.0009498657,0.00005039467,0.000197071],"category_scores_gemma":[0.0001276019,0.0001235612,0.0001284507,0.0002563023,0.00001051283,0.0002297152,0.0001004552,0.0001480908,0.0002119132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007338771,"about_ca_system_score_gemma":0.0001085562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005273036,"about_ca_topic_score_gemma":0.00001003941,"domain_scores_codex":[0.9983684,0.00003234845,0.0002431928,0.0003655116,0.0006713705,0.0003191974],"domain_scores_gemma":[0.9992979,0.00001918498,0.00007547098,0.0003356517,0.000127268,0.0001445604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004747548,0.0001105448,0.00008356805,0.00000550145,0.00004304109,0.00005157231,0.001333024,0.0003591569,0.001631638,0.2091721,0.05933267,0.7278724],"study_design_scores_gemma":[0.002277565,0.0009529009,0.007239113,0.0003619521,0.0001308181,0.0001605827,0.00008746878,0.7207321,0.014739,0.03317863,0.2180802,0.002059658],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006917064,0.00009209773,0.9829674,0.002667892,0.0002084984,0.00008200455,2.126084e-7,0.000275508,0.006789269],"genre_scores_gemma":[0.8543154,0.00000328599,0.1438267,0.0009190437,0.0001897912,7.426994e-7,8.509853e-7,0.000004941528,0.0007393112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8473983,"threshold_uncertainty_score":0.5038677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818733149510441,"score_gpt":0.2433756879015076,"score_spread":0.2151883564064032,"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."}}