{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001468998,0.0002766555,0.0004361207,0.0009946622,0.0003991404,0.0004096096,0.0004245813,0.0006550064,0.003176367],"category_scores_gemma":[0.004536084,0.0001901149,0.0002920887,0.0004754306,0.0001816755,0.0006115676,0.0004259487,0.0002737786,0.0007274883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013153,"about_ca_system_score_gemma":0.0003915337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236366,"about_ca_topic_score_gemma":0.0008607956,"domain_scores_codex":[0.998807,0.0003453238,0.00007457211,0.0001534682,0.0005005289,0.0001191704],"domain_scores_gemma":[0.9976496,0.0008416243,0.0001365526,0.0005131408,0.0007867037,0.00007232619],"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":[0.002929472,0.0001821003,0.02239437,0.0002030393,0.0001064119,0.001187038,0.0002186125,0.007107306,0.2589078,0.001972673,0.005574294,0.6992169],"study_design_scores_gemma":[0.0001796147,0.001255308,0.06423686,0.00005284188,0.0004477268,0.003630123,0.0001392977,0.4514758,0.4714908,0.001274823,0.005738564,0.00007817243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7188933,0.001015685,0.2709493,0.0004130765,0.0002917041,0.0001425313,0.0003306642,0.003956276,0.004007426],"genre_scores_gemma":[0.963237,0.000303081,0.03394143,0.00009087491,0.00005357214,0.00001919252,0.0001537413,0.00005045549,0.002150579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003176367,"threshold_uncertainty_score":0.01062596,"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."}}