{"id":"W7006459247","doi":"","title":"Three Dimentional Computer Vision-Based Alternative Control Method for Assistive Robotic Manipulator","year":2016,"lang":"en","type":"article","venue":"D-Scholarship@Pitt (University of Pittsburgh)","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"VA Pittsburgh Healthcare System; Craig H. Neilsen Foundation; U.S. Department of Veterans Affairs","keywords":"Robot manipulator; Robotic arm; Kinematics; Manipulator (device); Robotics; Population; Robot; Control (management); Range (aeronautics); Inverse kinematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000489904,0.0002415611,0.00053324,0.0002128683,0.0002438177,0.00001897987,0.0002888968,0.0001805898,0.000512181],"category_scores_gemma":[0.0001498458,0.0001921466,0.0004557402,0.0002074368,0.0002440876,0.0002811649,0.00008571112,0.0002298167,0.00003825003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008859319,"about_ca_system_score_gemma":0.0001135231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004520249,"about_ca_topic_score_gemma":0.00002211213,"domain_scores_codex":[0.998264,0.0001345083,0.0002262295,0.0005656844,0.0004596418,0.0003499953],"domain_scores_gemma":[0.9978368,0.0009845446,0.0002368601,0.0002944056,0.0003826655,0.0002646872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04050864,0.007882186,0.4089518,0.001261713,0.004702628,0.001328725,0.0005477001,0.003437406,0.07683054,0.06061517,0.0175274,0.376406],"study_design_scores_gemma":[0.0154918,0.003033243,0.912763,0.0001552286,0.0007014801,0.00001399601,0.00003402905,0.01045985,0.0001499723,0.05296945,0.003805818,0.0004221202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1041446,0.000088718,0.890247,0.004334499,0.0002710108,0.0007068136,0.00007655485,0.0000678651,0.00006287405],"genre_scores_gemma":[0.974243,0.00001023791,0.02452296,0.0008276202,0.0001701746,0.000003466538,0.00003296274,0.00002314187,0.0001664297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8700984,"threshold_uncertainty_score":0.7835512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818691666675505,"score_gpt":0.2739276664972266,"score_spread":0.2457407498304715,"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."}}