{"id":"W2477441364","doi":"10.4018/978-1-4666-6030-4.ch009","title":"Online User Interaction Traits in Web-Based Social Biometrics","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biometrics; Computer science; Identification (biology); World Wide Web; The Internet; Internet privacy; Authentication (law); Perspective (graphical); Process (computing); Data science; Computer security; Artificial intelligence","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":[0.0003266409,0.0002749447,0.0002651289,0.0007861314,0.0002537942,0.001116917,0.0002900906,0.0004662159,0.007367624],"category_scores_gemma":[0.0008098454,0.0001667857,0.000245174,0.001057265,0.0003956502,0.001411265,0.000608862,0.0005104841,0.002889223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999906,"about_ca_system_score_gemma":0.0001377334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004800343,"about_ca_topic_score_gemma":0.0008234257,"domain_scores_codex":[0.9997334,0.00006398255,0.0000113469,0.00004925833,0.0001229567,0.00001902101],"domain_scores_gemma":[0.9997845,0.0001132327,0.00002886954,0.00002332174,0.00003934698,0.00001075629],"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":[0.0001785119,0.0001687973,0.01073656,0.000539971,0.00003874001,0.0005898907,0.00264384,0.003751834,0.0286448,0.09932233,0.02493533,0.8284494],"study_design_scores_gemma":[0.00001902488,0.0005754587,0.1789848,0.001597128,0.0001370018,0.01090608,0.004097508,0.1141075,0.04000454,0.1112357,0.5380434,0.0002918123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2776376,0.04890528,0.2307323,0.003166112,0.001429881,0.0002667671,0.00162462,0.00201054,0.4342268],"genre_scores_gemma":[0.7578513,0.01660961,0.06871311,0.0005882665,0.0003742003,0.0001510305,0.0008169633,0.0002272854,0.1546683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007367624,"threshold_uncertainty_score":0.02464712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621366238369503,"score_gpt":0.3059405323617708,"score_spread":0.2697268699780758,"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."}}