{"id":"W3113126786","doi":"10.31436/ijpcc.v6i2.172","title":"Advanced Voting System Using Fingerprint","year":2020,"lang":"en","type":"article","venue":"International Journal on Perceptive and Cognitive Computing","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Management and Science University","keywords":"Polling; Voting; Fingerprint (computing); Computer science; Computer security; Biometrics; Fingerprint recognition; Identifier; Identity (music); Process (computing); Computer network; Political science; Law; Operating system","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":[0.000736966,0.0004194367,0.0008224914,0.001160956,0.000729176,0.001085445,0.0009220308,0.000837269,0.00872255],"category_scores_gemma":[0.001246208,0.0001993526,0.0003918491,0.0008343501,0.0002895788,0.001328475,0.0008501773,0.0003864047,0.003353648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065796,"about_ca_system_score_gemma":0.0003253133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006472487,"about_ca_topic_score_gemma":0.0004352605,"domain_scores_codex":[0.9986262,0.000230501,0.00008984073,0.0003259949,0.0005581619,0.0001692556],"domain_scores_gemma":[0.999265,0.0001009711,0.00006123466,0.0001785442,0.0003431146,0.00005113216],"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":[0.001398506,0.0001739935,0.006199582,0.000392303,0.00009461935,0.00066278,0.0003196573,0.009077383,0.1953377,0.009326861,0.01276524,0.7642515],"study_design_scores_gemma":[0.0005503051,0.002457194,0.01564977,0.0002040505,0.0004315137,0.007111986,0.0004043237,0.398574,0.3554341,0.01419989,0.20461,0.0003728554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283563,0.001810847,0.8170152,0.0004720678,0.0008751156,0.000394,0.0005830667,0.009493362,0.04099999],"genre_scores_gemma":[0.9029011,0.0005392602,0.07504722,0.0001763457,0.0002028492,0.0001303147,0.0004465664,0.00009900703,0.02045724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00872255,"threshold_uncertainty_score":0.02917981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942866856137161,"score_gpt":0.2896204757011782,"score_spread":0.2601918071398066,"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."}}