{"id":"W2797154185","doi":"10.1109/lra.2018.2825473","title":"OREO: An Open-Hardware Robotic Head That Supports Practical Saccades and Accommodation","year":2018,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Computer vision; Stereopsis; Machine vision; Focus (optics); Robotics; Robot","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":[0.000385657,0.0004889621,0.0004313304,0.0004129538,0.0002861278,0.0004554696,0.001953011,0.0007311776,0.01535653],"category_scores_gemma":[0.001085646,0.0004211584,0.0004357936,0.0001770653,0.0004842353,0.001088313,0.001250332,0.0005078967,0.003754288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956585,"about_ca_system_score_gemma":0.0008315908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439909,"about_ca_topic_score_gemma":0.002147119,"domain_scores_codex":[0.9997664,0.00001549738,0.00001600671,0.00004934864,0.0001000836,0.00005266444],"domain_scores_gemma":[0.999491,0.0001112945,0.00005618443,0.0001106443,0.0001381137,0.00009270289],"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":[0.001558815,0.0003712563,0.003056844,0.0009507851,0.00007852285,0.0009641778,0.0004876376,0.005045795,0.5570049,0.008069082,0.03889957,0.3835126],"study_design_scores_gemma":[0.001232827,0.005135681,0.02650645,0.0002319358,0.000439184,0.006611987,0.0002979006,0.2002977,0.3974676,0.007071907,0.3540891,0.0006177255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1392359,0.0003749353,0.7807434,0.0005989558,0.0005435486,0.001473643,0.001656677,0.04300684,0.03236619],"genre_scores_gemma":[0.5143037,0.0002384409,0.4468891,0.0005765899,0.0001179766,0.0009118089,0.002004549,0.00179919,0.03315862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01535653,"threshold_uncertainty_score":0.05137277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05903658796968672,"score_gpt":0.3491818060752113,"score_spread":0.2901452181055246,"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."}}