{"id":"W3029796959","doi":"10.1145/3334480.3375144","title":"Authentication Beyond Desktops and Smartphones","year":2020,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"USable; Authentication (law); Computer science; Wearable computer; Computer security; Internet privacy; Internet of Things; Wearable technology; Human–computer interaction; World Wide Web; Embedded system","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":[0.00008212249,0.00005200997,0.0000652562,0.00002218892,0.00005210393,0.0001343843,0.0002499747,0.00002169553,0.00003002729],"category_scores_gemma":[0.00003162001,0.00004487954,0.00001627753,0.0001582534,0.00001920456,0.0002349814,0.00009031276,0.00003171048,0.0001905004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003654944,"about_ca_system_score_gemma":0.00001224123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007508312,"about_ca_topic_score_gemma":0.000002112448,"domain_scores_codex":[0.9994597,0.00002752557,0.0001175914,0.0002017173,0.0001098399,0.00008358702],"domain_scores_gemma":[0.9996105,0.0000289122,0.00002789109,0.0001880954,0.0000314887,0.0001131075],"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":[0.000003394025,0.00005599581,0.005306609,0.00006941264,0.00002105357,0.000002887183,0.1519211,3.867287e-7,0.007820035,0.8075907,0.003759256,0.02344914],"study_design_scores_gemma":[0.0005881553,0.0000955127,0.03217194,0.000009050234,0.00001208483,0.00001466746,0.000415147,0.8909942,0.007153654,0.02032252,0.04785375,0.0003693354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1927698,0.0001604731,0.7478154,0.05223001,0.000262464,0.000251822,0.000001244074,0.0005146771,0.005994171],"genre_scores_gemma":[0.993939,0.000005611406,0.003730441,0.001961862,0.00002794857,0.000004847506,0.00000113421,0.000002601019,0.000326519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8909938,"threshold_uncertainty_score":0.2448561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812737537619861,"score_gpt":0.209831855749439,"score_spread":0.1917044803732404,"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."}}