{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003586671,0.000220848,0.0002699402,0.0001561554,0.0003322111,0.000581307,0.0005966031,0.00005085597,0.00002360166],"category_scores_gemma":[0.0002021603,0.0001993658,0.0001732875,0.0001693698,0.00004663047,0.0003937934,0.0003869817,0.0005161095,0.00003934716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300313,"about_ca_system_score_gemma":0.00005192743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002786219,"about_ca_topic_score_gemma":8.092188e-7,"domain_scores_codex":[0.99809,0.000147623,0.0004696741,0.0004633548,0.0005478705,0.0002814894],"domain_scores_gemma":[0.9983996,0.0002422696,0.0003557744,0.00004131429,0.000763103,0.000198001],"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":[0.0002709918,0.0001683371,0.002204015,0.00005745909,0.001177394,0.001341823,0.0270636,0.04312953,0.002671646,0.2111881,0.00008077494,0.7106463],"study_design_scores_gemma":[0.000609767,0.0001626829,0.001372147,0.0007302593,0.00002775776,0.0003485559,0.003611051,0.9926507,0.0001770222,0.00001011848,0.00006697626,0.0002329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4382248,0.00004902718,0.560326,0.0004009016,0.0003664999,0.00004554873,0.000001934416,0.0000549991,0.0005302826],"genre_scores_gemma":[0.9897014,0.000007197626,0.007251426,0.002121308,0.0008924009,6.67868e-7,0.000002182428,0.00001439664,0.000008948917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9495212,"threshold_uncertainty_score":0.8129902,"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."}}