{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002317386,0.001569813,0.001198872,0.002720108,0.001040893,0.00200841,0.00196648,0.002895402,0.02651077],"category_scores_gemma":[0.01632834,0.0003403026,0.001339586,0.002890745,0.0005394025,0.001589834,0.002552644,0.001480312,0.03276546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185831,"about_ca_system_score_gemma":0.002198909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109297,"about_ca_topic_score_gemma":0.01340755,"domain_scores_codex":[0.9963489,0.0008184685,0.0006569796,0.00100433,0.0007924222,0.0003788577],"domain_scores_gemma":[0.9914492,0.002420759,0.0008121934,0.002852061,0.001972385,0.0004934277],"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":[0.0005959783,0.0002396103,0.01852863,0.002131277,0.0001216442,0.000219292,0.0001692131,0.0009219102,0.0007701276,0.0008507351,0.95605,0.01940156],"study_design_scores_gemma":[0.0006326966,0.0004304413,0.09678898,0.001624821,0.0001755114,0.0008315442,0.001170185,0.004650473,0.003016474,0.003096871,0.8873554,0.0002266217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003633844,0.000263658,0.0005338179,0.0003345088,0.0001830375,0.0001276816,0.9931925,0.0007200575,0.001010927],"genre_scores_gemma":[0.00726127,0.000106275,0.001171329,0.0001510884,0.00005641841,0.0004800914,0.9898456,0.00004779473,0.0008800317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9980335,"threshold_uncertainty_score":0.08868736,"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."}}