{"id":"W2099977214","doi":"10.1145/1101149.1101232","title":"Haptic","year":2005,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biometrics; Computer science; Haptic technology; Exploit; Authentication (law); Task (project management); Class (philosophy); Computer security; Identity (music); Human–computer interaction; Field (mathematics); Identity theft; Scope (computer science); Internet privacy; Artificial intelligence; Engineering","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":[0.0004559278,0.0007806984,0.0005424977,0.0005729776,0.0006334951,0.00169665,0.001342928,0.001839251,0.09971832],"category_scores_gemma":[0.002115899,0.0002431422,0.0004075555,0.000423661,0.0006841068,0.001970824,0.001769333,0.0006094914,0.02718149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003416983,"about_ca_system_score_gemma":0.0002835931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004181104,"about_ca_topic_score_gemma":0.0004088973,"domain_scores_codex":[0.9994044,0.00005293752,0.00002631542,0.00009757765,0.0003692188,0.00004950694],"domain_scores_gemma":[0.9991965,0.0001972488,0.00005978167,0.0001905362,0.000286145,0.00006989438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005665291,0.0001631611,0.0008085263,0.001187858,0.00004735318,0.0007260675,0.0003813946,0.002972777,0.1568235,0.04300567,0.06226399,0.7310532],"study_design_scores_gemma":[0.0001670243,0.001309936,0.004364796,0.0003876316,0.00009420842,0.004846707,0.0003530763,0.03554834,0.05375121,0.02356215,0.8754184,0.0001964669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02494061,0.01062682,0.5351313,0.003202606,0.00806745,0.0007195577,0.001367844,0.009093183,0.4068506],"genre_scores_gemma":[0.5549158,0.005878089,0.09430153,0.003366132,0.002066944,0.0004854319,0.001278118,0.0005786679,0.3371292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09971832,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014681262991352,"score_gpt":0.2367030165840496,"score_spread":0.2220217535926976,"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."}}