{"id":"W2949257490","doi":"10.1145/3312574","title":"Watch Me from Distance (WMD)","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"University of California, Irvine; National University of Singapore","keywords":"Computer science; Credibility; Silhouette; Adversary; Computer security; Inference; Robustness (evolution); Security token; Internet privacy; 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":[0.0006032792,0.0005558909,0.0004648254,0.0004725449,0.0006473372,0.0006501135,0.0009428042,0.0007942274,0.002870716],"category_scores_gemma":[0.00204143,0.0001881998,0.0003709897,0.0002622478,0.0004069032,0.001850692,0.00308248,0.0006889107,0.001123759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930908,"about_ca_system_score_gemma":0.0003708146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639556,"about_ca_topic_score_gemma":0.001382814,"domain_scores_codex":[0.9994031,0.0001183436,0.00004039043,0.0002031283,0.0001545755,0.00008049152],"domain_scores_gemma":[0.9984263,0.0002255998,0.0002644909,0.0006826903,0.0001785448,0.0002224598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00229693,0.0005965545,0.02201651,0.0007452343,0.0002457341,0.001495736,0.002364245,0.008215104,0.0994413,0.03134891,0.04232953,0.7889043],"study_design_scores_gemma":[0.0004032229,0.003902132,0.04825251,0.0002892326,0.0004209577,0.007794945,0.001923343,0.4082729,0.1490308,0.03749596,0.3417453,0.0004687035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2643698,0.002226603,0.6647698,0.001319548,0.0006034275,0.001050045,0.001855641,0.01931721,0.04448792],"genre_scores_gemma":[0.9007396,0.0004186114,0.0846998,0.0005176077,0.0001416462,0.0002256366,0.0008847819,0.0001494218,0.01222294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002870716,"threshold_uncertainty_score":0.0096035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190801704802339,"score_gpt":0.2689322800026612,"score_spread":0.2498521095224273,"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."}}