{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108446,0.00009497666,0.0001173745,0.000521498,0.0001421017,0.00006709334,0.00008115765,0.00004962453,9.41151e-7],"category_scores_gemma":[0.000008411643,0.0000943364,0.00003682851,0.0004947149,0.00002972258,0.0002611854,7.779024e-7,0.00003963755,0.000002993598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359934,"about_ca_system_score_gemma":0.00003135308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002458556,"about_ca_topic_score_gemma":0.00002374376,"domain_scores_codex":[0.9988158,0.0000264564,0.0004004801,0.0002514634,0.0003900635,0.0001157697],"domain_scores_gemma":[0.9992415,0.00005559756,0.0001859966,0.0001612703,0.0002792517,0.00007641249],"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":[0.00006421661,0.0001966794,0.0000456522,0.0003385457,0.00007948875,1.622269e-7,0.001065598,0.00008049268,0.5386016,0.002572039,0.00001156023,0.456944],"study_design_scores_gemma":[0.003363029,0.000367792,0.009760825,0.0002339748,0.00009827059,0.00004205788,0.001988272,0.01427055,0.9690762,0.0000586681,0.0004623876,0.0002779413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03741777,0.00003819722,0.9610677,0.0001119538,0.0006266803,0.0005981007,0.00001377984,0.00005377132,0.0000719909],"genre_scores_gemma":[0.9899827,0.00002010268,0.009846888,0.00002492415,0.00001262476,0.0000851747,0.000002414632,0.000006088637,0.00001906704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.952565,"threshold_uncertainty_score":0.3846927,"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."}}