{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454846,0.0001334925,0.0002017424,0.0001029859,0.0001071419,0.00005716314,0.0001458959,0.00009179542,1.471548e-7],"category_scores_gemma":[0.000005504887,0.0001089771,0.00002849846,0.000188448,0.00006224985,0.00003007495,0.00009047792,0.00006882262,5.047792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634864,"about_ca_system_score_gemma":0.00002175077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001160681,"about_ca_topic_score_gemma":0.000003225146,"domain_scores_codex":[0.9991476,0.00001178511,0.0001995955,0.0003130125,0.00009977727,0.0002282426],"domain_scores_gemma":[0.9995502,0.00005047662,0.0001199513,0.000186096,0.0000652303,0.00002804315],"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":[0.00002230137,0.00006121828,0.00001585734,0.00004484015,0.00002228676,0.000001772197,0.00002773958,0.00002669812,0.6448699,0.2719746,0.0000181231,0.08291464],"study_design_scores_gemma":[0.001461461,0.0003134864,0.0001888047,0.00002899358,0.00003646134,0.000006413257,0.00002713252,0.6414433,0.2279405,0.1280349,0.0002566029,0.0002619286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02710328,0.0004653112,0.9709914,0.0008009318,0.00009044161,0.0004599573,0.000003644453,0.00007605729,0.000009004112],"genre_scores_gemma":[0.9236369,0.00001906916,0.07615891,0.0001342516,0.00001187034,0.0000106387,0.000002790887,0.000007307401,0.0000182843],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8965336,"threshold_uncertainty_score":0.4443956,"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."}}