{"id":"W1983192482","doi":"10.4018/jssci.2012070102","title":"A Novel Cross Folding Algorithm for Multimodal Cancelable Biometrics","year":2012,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biometrics; Computer science; Pattern recognition (psychology); Artificial intelligence; Data mining; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0008638243,0.0008306548,0.0007810493,0.001063436,0.0005166277,0.000768159,0.001098636,0.0009521667,0.005116498],"category_scores_gemma":[0.001741118,0.0003147229,0.0008009761,0.0009170334,0.0004841669,0.0009873275,0.00108937,0.0008501638,0.002031581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003899901,"about_ca_system_score_gemma":0.000555701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148081,"about_ca_topic_score_gemma":0.0009489761,"domain_scores_codex":[0.999163,0.0001355841,0.00005522913,0.0002156902,0.0003628253,0.00006761686],"domain_scores_gemma":[0.9994373,0.0001360762,0.00004324883,0.0001287583,0.0002265199,0.00002815707],"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":[0.0002169563,0.00008705536,0.0005631665,0.00006170454,0.0000468713,0.0001239459,0.00007214556,0.03385261,0.08502557,0.008993413,0.002522258,0.8684343],"study_design_scores_gemma":[0.00002994088,0.0002142328,0.0008606686,0.00001340989,0.00003043315,0.0005820125,0.00003313009,0.9276922,0.05587235,0.004693515,0.009944011,0.00003418717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00433216,0.00008245397,0.9943991,0.000029991,0.00003250541,0.00002499188,0.00001265558,0.0006380226,0.0004480246],"genre_scores_gemma":[0.07587852,0.000119043,0.9196156,0.0001004365,0.00003853541,0.00008366728,0.0001592682,0.0001616865,0.003843137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005116498,"threshold_uncertainty_score":0.01711637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04749752594991816,"score_gpt":0.3581776647322387,"score_spread":0.3106801387823205,"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."}}