{"id":"W2671880942","doi":"","title":"A Quantitative Approach to Non-Intrusive Computing","year":2010,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Deliverable; Focus (optics); Ubiquitous computing; Software; Human–computer interaction; Intrusion; Computer security; Data science; Internet privacy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000306625,0.0001175311,0.0001373639,0.0001437334,0.0001532207,0.0001806118,0.0008649189,0.00005379773,0.000007084443],"category_scores_gemma":[0.0001046761,0.0001031038,0.0000419506,0.0005120945,0.00002659061,0.0001770548,0.0003848566,0.000200279,0.0001319484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001008201,"about_ca_system_score_gemma":0.00004086002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002551349,"about_ca_topic_score_gemma":0.000002473618,"domain_scores_codex":[0.9990198,0.00002825207,0.0001737049,0.0003793826,0.0001619911,0.0002368422],"domain_scores_gemma":[0.9991269,0.0001088049,0.00005763901,0.0004283392,0.0001555776,0.0001228058],"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":[0.000005354771,0.000142515,0.0001570669,0.000008282096,0.00001492784,0.000002888014,0.004077193,0.01576059,0.0037744,0.9483948,0.01245499,0.01520699],"study_design_scores_gemma":[0.00009505376,0.00007288859,0.0004106034,0.000005232409,0.000001002814,0.00001038517,0.00004905105,0.9930975,0.003653837,0.001543774,0.0008807902,0.0001798364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01008733,0.000002237413,0.8905212,0.000352896,0.0002088222,0.000176775,2.632167e-7,0.0006608571,0.09798964],"genre_scores_gemma":[0.4145941,2.540257e-7,0.5845832,0.0005796945,0.0000273317,0.000004103967,7.245483e-7,0.000004341822,0.0002062624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9773369,"threshold_uncertainty_score":0.420445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815597908544437,"score_gpt":0.286546029224847,"score_spread":0.2683900501394026,"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."}}