{"id":"W2094673915","doi":"10.1016/j.cmpb.2007.11.014","title":"Fingerprint verification on medical image reporting system","year":2008,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Confidentiality; DICOM; Computer science; Interoperability; Health care; Authentication (law); The Internet; Certification; Computer security; Fingerprint (computing); Digital signature; Internet privacy; World Wide Web; Artificial intelligence; Hash function","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004130601,0.0002520424,0.000759556,0.0003597988,0.00007915573,0.00002487401,0.000143606,0.0001503658,0.00001688501],"category_scores_gemma":[0.001209574,0.0001836664,0.00007299564,0.0006102102,0.0006193507,0.00007800059,0.0001135037,0.0004949107,0.00001020848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104787,"about_ca_system_score_gemma":0.0001004023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004166032,"about_ca_topic_score_gemma":4.593125e-7,"domain_scores_codex":[0.9968538,0.0001875084,0.001316747,0.000587692,0.0006751177,0.0003791584],"domain_scores_gemma":[0.9982195,0.0002783847,0.0004471959,0.0005116625,0.0001340649,0.000409171],"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":[0.00009633156,0.0003011015,0.0231452,0.0005072766,0.00003809589,0.00164479,0.0006905583,3.51482e-7,0.001314405,0.0003084265,0.0006559824,0.9712975],"study_design_scores_gemma":[0.01790021,0.00998593,0.6306159,0.02383181,0.0003101303,0.04490772,0.00143443,0.1448389,0.003937692,0.0005496452,0.1201411,0.00154659],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5239577,0.001271183,0.4549047,0.007759687,0.002253488,0.001354041,0.000001106303,0.0006302595,0.007867829],"genre_scores_gemma":[0.4124677,0.0001305929,0.584877,0.001169192,0.001117099,0.00005081448,0.00004976724,0.00003593957,0.0001020015],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9697509,"threshold_uncertainty_score":0.7489699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113095112753053,"score_gpt":0.4168238538943951,"score_spread":0.3037287411413421,"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."}}