{"id":"W2606000149","doi":"10.1016/j.rcim.2017.04.003","title":"An articulated assistive robot for intuitive hands-on-payload manipulation","year":2017,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Payload (computing); Robot; Simulation; Kinematics; Control engineering; Controller (irrigation); Computer science; Offset (computer science); Engineering; Control theory (sociology); Artificial intelligence; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001023276,0.0002518224,0.0002676303,0.00009137436,0.0004534645,0.0006475965,0.0001710019,0.0001181377,0.000009115603],"category_scores_gemma":[0.00001043559,0.0002223311,0.0000560036,0.00002113016,0.00003477454,0.0002368668,0.00002616337,0.0001544722,0.00001105583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006544004,"about_ca_system_score_gemma":0.00001039115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004538161,"about_ca_topic_score_gemma":0.00005604632,"domain_scores_codex":[0.9990577,0.00002126549,0.0002621879,0.0002902253,0.0001110619,0.0002575845],"domain_scores_gemma":[0.9992983,0.00005131774,0.00008268509,0.0003545184,0.00007993865,0.0001332407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003573523,0.00004402659,0.0002923775,0.00005681302,0.0001236759,0.00001405021,0.000240355,0.9427188,0.0006787708,0.003582933,0.0001730896,0.05203935],"study_design_scores_gemma":[0.000833543,0.0002685126,0.03733231,0.0001219,0.00002769099,0.00001272984,0.00004950471,0.9448313,0.01589106,0.0001525752,0.0001915318,0.0002873501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3466385,0.0000152003,0.6515362,0.00005980889,0.0007246656,0.0003596302,0.0000125022,0.0002812147,0.0003722892],"genre_scores_gemma":[0.992088,0.00001069161,0.007408985,0.00004632725,0.0002663404,0.00002234901,0.00006195946,0.00003883696,0.00005654436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6454495,"threshold_uncertainty_score":0.9066399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209497966734025,"score_gpt":0.2476217334384843,"score_spread":0.2255267537711441,"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."}}