{"id":"W4245631291","doi":"10.1155/2006/134949","title":"Design, Sensing and Control of a Robotic Prosthetic Eye for Natural Eye Movement","year":2006,"lang":"en","type":"article","venue":"Applied Bionics and Biomechanics","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eye movement; Artificial intelligence; Computer vision; Computer science; SIGNAL (programming language); Artificial neural network; Sensor fusion; Eye tracking; Frame (networking); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002820741,0.000217318,0.0001729547,0.0001093443,0.0001779301,0.0002991257,0.0005349952,0.0003699432,0.0009091014],"category_scores_gemma":[0.0003895071,0.0001604572,0.0002316643,0.0000544529,0.0002280435,0.0002432832,0.0002118607,0.0001880517,0.0001970643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048314,"about_ca_system_score_gemma":0.0004401959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006935638,"about_ca_topic_score_gemma":0.0008288982,"domain_scores_codex":[0.9998134,0.00002673118,0.00001233672,0.00005046976,0.00008096811,0.00001609596],"domain_scores_gemma":[0.999844,0.00004030414,0.00003206512,0.00002290301,0.00004872245,0.00001195385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001987576,0.000152,0.001244717,0.0004548917,0.00006791801,0.0002709377,0.000236533,0.09747111,0.7187549,0.009241043,0.001646929,0.1702602],"study_design_scores_gemma":[0.0001254908,0.002423775,0.004056702,0.00004226174,0.00008873089,0.0008588668,0.0000812207,0.7939813,0.1619372,0.002275091,0.0340657,0.00006358328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07281817,0.0005008988,0.9202561,0.0002109021,0.0001017002,0.0001330081,0.00003875846,0.0006486227,0.005291969],"genre_scores_gemma":[0.7973567,0.0003069156,0.1969808,0.0001029568,0.00003642003,0.0001883839,0.00004541243,0.00002438196,0.004958157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009091014,"threshold_uncertainty_score":0.003041208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008226096543553633,"score_gpt":0.2116682611696438,"score_spread":0.2034421646260902,"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."}}