{"id":"W2119306803","doi":"10.1109/vecims.2009.5068881","title":"An algorithm for measurement and detection of path cheating in virtual environments","year":2009,"lang":"en","type":"article","venue":"Proceedings of the ... IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems./Proceedings of the ... IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cheating; Path (computing); Computer science; Controller (irrigation); Process (computing); Algorithm; Computer network; Psychology; Social psychology; Operating 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003657557,0.00117623,0.001399629,0.0006886764,0.000534946,0.0009277763,0.003136602,0.0003792535,0.00001700022],"category_scores_gemma":[0.00005945963,0.0009448716,0.0003438299,0.000227444,0.0005423453,0.001641086,0.0006650665,0.0006982039,0.000004697281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150263,"about_ca_system_score_gemma":0.00006428347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002050614,"about_ca_topic_score_gemma":0.0000223847,"domain_scores_codex":[0.9894055,0.0001595947,0.002757063,0.001949811,0.004980597,0.000747499],"domain_scores_gemma":[0.9954625,0.00006032629,0.002909299,0.0005670665,0.0007054161,0.0002953784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003043069,0.001546693,0.001231607,0.000212203,0.001012357,0.000001038162,0.002349416,0.003833489,0.8997301,0.06598625,0.0002168664,0.02357567],"study_design_scores_gemma":[0.009224457,0.01235342,0.01715929,0.01145944,0.0005436412,0.00006064975,0.006312003,0.5397087,0.3967017,0.001707753,0.001972298,0.00279666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.814411,0.0003304766,0.1748091,0.0007270695,0.004763533,0.003627602,0.0001376089,0.000082058,0.001111535],"genre_scores_gemma":[0.9977317,0.0003551133,0.0005265389,0.0001521593,0.0004432752,0.0001984089,0.00001013818,0.00006619509,0.0005164433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5358752,"threshold_uncertainty_score":0.9993002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06836971882521779,"score_gpt":0.2723950895419653,"score_spread":0.2040253707167475,"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."}}