{"id":"W2091289860","doi":"10.1145/2399016.2399140","title":"Demo of gaze controlled flying","year":2012,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Gaze; Computer science; Human–computer interaction; Computer graphics (images); Computer vision","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":[0.0003670298,0.0008169836,0.0003345614,0.0007799917,0.0007004097,0.0008095109,0.0007101548,0.0009486652,0.02919726],"category_scores_gemma":[0.0005689817,0.0002690235,0.0006601816,0.000316991,0.0006737165,0.0006614638,0.001068296,0.001218874,0.002728406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007499955,"about_ca_system_score_gemma":0.0004204682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641002,"about_ca_topic_score_gemma":0.0182083,"domain_scores_codex":[0.9997823,0.00003308765,0.000006033213,0.00003402771,0.0001065872,0.00003806197],"domain_scores_gemma":[0.9997059,0.00007094412,0.000006938882,0.00005816446,0.00008787147,0.00007027807],"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":[0.003846582,0.0005467586,0.003308759,0.002059742,0.0003305642,0.008570758,0.004700117,0.07710347,0.256354,0.04488005,0.2672856,0.3310136],"study_design_scores_gemma":[0.0007746015,0.001420357,0.01565466,0.0004739471,0.0001422696,0.003761349,0.001167141,0.1822311,0.05353041,0.01955511,0.7210258,0.0002631755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2208269,0.008265159,0.3105579,0.01073168,0.006141449,0.00162777,0.02229865,0.03256039,0.3869901],"genre_scores_gemma":[0.7211152,0.003784509,0.1718234,0.001195946,0.0004893864,0.0006389679,0.008307546,0.001356758,0.09128829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02919726,"threshold_uncertainty_score":0.09767461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815066341481732,"score_gpt":0.2515270215429953,"score_spread":0.233376358128178,"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."}}