{"id":"W4398911259","doi":"10.7910/dvn/vvxwzo","title":"Replication Data for: Continuous Authentication using Touch Dynamics and its Application in Personal Health Records","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Memorial University of Newfoundland","funders":"","keywords":"Replication (statistics); Authentication (law); Computer science; Dynamics (music); Internet privacy; World Wide Web; Computer security; Psychology; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001456391,0.000274217,0.0004614469,0.0003155514,0.0001478069,0.0002679235,0.00234539,0.0002406785,0.00004075279],"category_scores_gemma":[0.0002924387,0.0003104652,0.00004360803,0.0003330675,0.00003171745,0.001000536,0.0009333256,0.0002549898,0.001263256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665622,"about_ca_system_score_gemma":0.0003769746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007832509,"about_ca_topic_score_gemma":0.001149481,"domain_scores_codex":[0.9968433,0.0001782618,0.0007090897,0.001554953,0.0003686966,0.0003457035],"domain_scores_gemma":[0.9935268,0.0001264113,0.0007319535,0.005322521,0.0001591958,0.0001330758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001805339,0.0001445518,0.00006555398,0.0006742044,0.00003059887,8.650724e-7,0.001199745,0.000001341915,0.00002906009,0.001858653,0.9916077,0.004369723],"study_design_scores_gemma":[0.0002498186,0.00002248972,0.00006050761,0.00007145335,0.00001743476,0.00001143646,0.00005458919,0.4700263,0.000001309015,0.00004225883,0.5292829,0.000159446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000297721,0.00001491731,0.0837014,0.0001896352,0.0004625325,0.001946754,0.9133329,0.00005058643,0.000003584722],"genre_scores_gemma":[0.002169991,0.0002448064,0.001810045,0.0002949891,0.00009955549,0.0001025632,0.9951452,0.00001937149,0.0001134619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.470025,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05742229356565627,"score_gpt":0.3219153209024721,"score_spread":0.2644930273368158,"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."}}