{"id":"W7130391417","doi":"10.1109/tencon66050.2025.11375350","title":"Fingerprint Tarot Fortune Teller Game Utilizing Hénon Map-Based Pseudorandom Number Generator","year":2025,"lang":"","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pseudorandom number generator; Fingerprint (computing); Biometrics; User interface; Encryption; Fingerprint recognition; Wearable computer; Cryptography","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001887151,0.0009873239,0.0009981282,0.000553733,0.0007375168,0.001526434,0.001849214,0.0004458503,0.002822642],"category_scores_gemma":[0.0002920906,0.001016198,0.0007147097,0.002001977,0.0003541218,0.0014532,0.0009502239,0.001042412,0.00147202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005384928,"about_ca_system_score_gemma":0.002644946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197593,"about_ca_topic_score_gemma":0.00009754196,"domain_scores_codex":[0.9930453,0.0006721352,0.001599568,0.002155956,0.001073934,0.001453114],"domain_scores_gemma":[0.995497,0.0007768626,0.0004352135,0.00214911,0.0006357504,0.0005060313],"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":[0.002867362,0.00466788,0.003413883,0.002748514,0.000960475,0.0006435701,0.002194978,0.04199765,0.1906919,0.1115579,0.07849526,0.5597606],"study_design_scores_gemma":[0.007209562,0.0001354035,0.0003245561,0.0008540096,0.0001022815,0.00001341688,0.0001082175,0.8227422,0.1418181,0.002559709,0.02304343,0.001089127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02119975,0.001150048,0.9499953,0.008555007,0.003586375,0.001420872,0.00001229304,0.0005712367,0.01350906],"genre_scores_gemma":[0.9039612,0.0001148082,0.08243565,0.00671704,0.0003712445,0.0001558969,0.00002002791,0.00006995958,0.006154169],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8827615,"threshold_uncertainty_score":0.99951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858890446880862,"score_gpt":0.2742533590957413,"score_spread":0.2556644546269327,"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."}}