{"id":"W2151522570","doi":"10.1109/vecims.2005.1567578","title":"Recognizing and quantifying human movement patterns through haptic-based applications","year":2006,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Keypad; Computer science; Biometrics; Haptic technology; Set (abstract data type); Human–computer interaction; Class (philosophy); Field (mathematics); Exploit; Artificial intelligence; Identity (music); Behavioral pattern; Computer security","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":[0.000147168,0.00008772885,0.00009215332,0.00005089975,0.0002180047,0.0002483355,0.0002754027,0.00002965336,0.00002453009],"category_scores_gemma":[0.000002036601,0.00008205752,0.0000298358,0.0001358453,0.00001893869,0.0002249326,0.0000676265,0.00004805587,0.0000422688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002034135,"about_ca_system_score_gemma":0.00001232442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000711424,"about_ca_topic_score_gemma":0.0003390689,"domain_scores_codex":[0.9991252,0.00003022109,0.0002360958,0.00029473,0.0001588385,0.0001549224],"domain_scores_gemma":[0.9994308,0.00003726159,0.00006734624,0.0003811071,0.000047157,0.00003634721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.760546e-7,0.0002435194,0.03924926,0.0001053892,0.00001537015,0.000002081797,0.004477801,0.000008859307,0.009556018,0.9411106,0.000594903,0.00463548],"study_design_scores_gemma":[0.002307667,0.0001420584,0.08362096,0.0001930042,0.00004213378,0.00001127762,0.0009499531,0.7109087,0.02864092,0.1146577,0.05711996,0.001405692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05239071,0.00005479841,0.9423086,0.001131366,0.00004984185,0.0002845321,0.00000201764,0.0001833499,0.003594769],"genre_scores_gemma":[0.9868188,0.000001983734,0.01188088,0.0008016012,0.00004003266,0.00007459652,0.00000939925,0.000005933879,0.0003668007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.934428,"threshold_uncertainty_score":0.3346209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05523270889750134,"score_gpt":0.2936381126572006,"score_spread":0.2384054037596992,"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."}}