{"id":"W2060416571","doi":"10.1533/abbi.2005.0024","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":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"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; Frame (networking); Eye tracking; 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":[0.0002872219,0.0002176724,0.0001660923,0.0001072303,0.0001729226,0.0002946999,0.0005368356,0.0003485582,0.0009261214],"category_scores_gemma":[0.0004068664,0.0001665538,0.0002292666,0.00005166463,0.0002260325,0.0002350081,0.0002044968,0.0001827398,0.0001970676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079612,"about_ca_system_score_gemma":0.0004416495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006721676,"about_ca_topic_score_gemma":0.000806183,"domain_scores_codex":[0.9998174,0.00002660078,0.00001199929,0.00004932641,0.00007884549,0.00001578504],"domain_scores_gemma":[0.9998434,0.00003996713,0.00003202546,0.00002338171,0.00004922614,0.00001195836],"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":[0.0002025333,0.0001512477,0.001148695,0.0004276306,0.00006774802,0.0002626135,0.0002277058,0.08970266,0.7350039,0.008972152,0.001579767,0.1622533],"study_design_scores_gemma":[0.0001409741,0.002421204,0.00419927,0.00004065781,0.00009251465,0.0008558864,0.00008036095,0.7767904,0.1782409,0.002339985,0.03473332,0.00006466958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07657,0.0004501965,0.9162877,0.0002199322,0.0001024747,0.0001333344,0.00003708179,0.0006526245,0.0055468],"genre_scores_gemma":[0.805263,0.000268435,0.1892829,0.00009719921,0.00003424313,0.0001809203,0.00004197825,0.00002432798,0.004806995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009261214,"threshold_uncertainty_score":0.00309813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405506293155628,"score_gpt":0.2332199852835704,"score_spread":0.2191649223520141,"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."}}