{"id":"W7131233680","doi":"10.1109/icoiics67115.2025.11390439","title":"Smart Handlebar with Integrated Auto Finger Sensor for Biometric Authentication and Rider Safety","year":2025,"lang":"","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Biometrics; Authentication (law); Fingerprint recognition; Fingerprint (computing); Identification (biology); Password; Merge (version control)","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":[0.0003524304,0.0006567032,0.000633609,0.0006505657,0.0002870579,0.000791055,0.001896795,0.0008964425,0.006348155],"category_scores_gemma":[0.0005048467,0.0002771378,0.0003903351,0.0003059662,0.0002675627,0.001275842,0.0008459787,0.0003274769,0.002074757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498545,"about_ca_system_score_gemma":0.0002783718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000432603,"about_ca_topic_score_gemma":0.0004031824,"domain_scores_codex":[0.999167,0.00009146302,0.00005127617,0.0002150305,0.0004014591,0.0000738915],"domain_scores_gemma":[0.9996728,0.00004040548,0.00005527892,0.00005989024,0.0001417861,0.00002984498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009316563,0.0003711608,0.006365647,0.0006962983,0.00009729395,0.001079252,0.0003208978,0.006066996,0.6298772,0.006806034,0.008425424,0.3389621],"study_design_scores_gemma":[0.0001897026,0.003287231,0.01346928,0.0001651427,0.0003420759,0.004519031,0.0002320308,0.348435,0.5496497,0.002978952,0.07647684,0.0002550156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1520469,0.001988094,0.8181161,0.000391405,0.0007427909,0.0003524686,0.0003345305,0.01132829,0.01469927],"genre_scores_gemma":[0.8970419,0.0005788175,0.08251423,0.0003408945,0.0001738624,0.000180938,0.0002632314,0.0001255917,0.01878055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006348155,"threshold_uncertainty_score":0.02123672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653136130678924,"score_gpt":0.260352138254132,"score_spread":0.2438207769473427,"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."}}