{"id":"W1516571311","doi":"10.11575/prism/30651","title":"BALANCING PRIVACY AND AWARENESS FOR TELECOMMUTERS USING BLUR FILTRATION","year":2003,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Filtration (mathematics); Telecommuting; Privacy laws of the United States; Privacy protection; Computer science; Internet privacy; Motion blur; Work (physics); Information privacy; Computer security; Computer vision; Image (mathematics); Engineering","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":[0.002020835,0.0006432345,0.0005536558,0.0008933,0.001316726,0.001612463,0.0006253396,0.000868419,0.00125617],"category_scores_gemma":[0.01156949,0.0003464877,0.0003636256,0.0005309868,0.000717096,0.002848342,0.001896046,0.0007117402,0.0001986765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000766011,"about_ca_system_score_gemma":0.0008097648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003522943,"about_ca_topic_score_gemma":0.003747969,"domain_scores_codex":[0.9983826,0.0006362864,0.0001090594,0.0002701722,0.0003756317,0.000226381],"domain_scores_gemma":[0.9952356,0.00266347,0.0006346402,0.0007053266,0.0005010339,0.0002599823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004329666,0.001600437,0.06353674,0.0008291777,0.0003028025,0.001056731,0.01225064,0.04415385,0.2402568,0.0136193,0.004286706,0.6137772],"study_design_scores_gemma":[0.0006176935,0.006518709,0.1780961,0.0004198377,0.0009009674,0.003868381,0.0133735,0.3970525,0.3206893,0.04591338,0.0318171,0.0007326595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593544,0.0006085327,0.1330343,0.000464388,0.00003777859,0.0001803473,0.00007696182,0.0007791348,0.005464165],"genre_scores_gemma":[0.9741443,0.0001129894,0.02509381,0.00007139841,0.00001358812,0.00003507167,0.00004244821,0.00001921583,0.0004672301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003522943,"threshold_uncertainty_score":0.01068735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279505913729446,"score_gpt":0.2053712940765567,"score_spread":0.1925762349392623,"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."}}