{"id":"W2168054326","doi":"10.1109/tim.2006.887174","title":"A Novel Biometric System for Identification and Verification of Haptic Users","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Password; Haptic technology; Biometrics; Computer science; Authentication (law); Human–computer interaction; Identification (biology); Identifier; Process (computing); Computer security; Hand geometry; Identity (music); Session (web analytics); Artificial intelligence; World Wide Web; Computer network","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":[0.0007684848,0.0004278347,0.0006874871,0.0006723288,0.00051338,0.0006909358,0.00101777,0.001465866,0.005407054],"category_scores_gemma":[0.001915177,0.000246185,0.0003527527,0.0005479311,0.0005399838,0.001609478,0.0009243679,0.0005682706,0.002156943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759947,"about_ca_system_score_gemma":0.0003191385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002792224,"about_ca_topic_score_gemma":0.0002792288,"domain_scores_codex":[0.9988656,0.0001695162,0.00007616888,0.0002294289,0.0005699851,0.00008927953],"domain_scores_gemma":[0.9989728,0.0002326294,0.0001873052,0.0002307641,0.0002949632,0.00008151511],"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":[0.0008337749,0.0002423745,0.0018525,0.0003867833,0.00002978715,0.0007355157,0.0002697789,0.00126035,0.8002488,0.006276733,0.00383236,0.1840313],"study_design_scores_gemma":[0.0004761463,0.007038772,0.03017009,0.0002566991,0.0002817466,0.02159902,0.0002693469,0.2175708,0.6208791,0.005258067,0.09567519,0.0005250573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092296,0.001337713,0.8751124,0.0006202762,0.000867208,0.0004080662,0.0004116591,0.003723931,0.008289157],"genre_scores_gemma":[0.6761631,0.0006010928,0.3072171,0.000487431,0.0002705377,0.0003432595,0.000269155,0.00007365315,0.01457481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005407054,"threshold_uncertainty_score":0.01808846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625388940745402,"score_gpt":0.2740966328230042,"score_spread":0.211557738748464,"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."}}