{"id":"W2783470107","doi":"10.4018/ijrat.2017070104","title":"Kinova Modular Robot Arms for Service Robotics Applications","year":2017,"lang":"en","type":"article","venue":"International Journal of Robotics Applications and Technologies","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinova (Canada); Université Laval","funders":"","keywords":"Robotics; Artificial intelligence; Modular design; Teleoperation; Robot; Service (business); Grippers; Computer science; Human–computer interaction; Rehabilitation robotics; Engineering; Control engineering; Mechanical engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402035,0.0001373902,0.0002038228,0.0001985715,0.0002212172,0.0003125618,0.0009291769,0.000132181,0.000002473124],"category_scores_gemma":[0.00005071913,0.0001271972,0.00006861977,0.00007372637,0.00009895078,0.0002135764,0.00009385913,0.0001693159,0.000008126882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005716879,"about_ca_system_score_gemma":0.00002727113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004940079,"about_ca_topic_score_gemma":0.00001383056,"domain_scores_codex":[0.9990937,0.000003453257,0.0004370354,0.000131908,0.0001989853,0.0001349532],"domain_scores_gemma":[0.998461,0.00005956557,0.0002951311,0.0004142982,0.0007264674,0.00004350837],"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":[0.00001289465,0.0001306096,0.001078828,0.000112494,0.0004689763,0.000005082298,0.0001158233,0.4545962,0.007548702,0.389356,0.0005983996,0.145976],"study_design_scores_gemma":[0.004460081,0.000253976,0.009473714,0.0003648301,0.0004222375,0.001184706,0.003514568,0.432292,0.01316367,0.174749,0.358525,0.001596189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001174932,0.0007959136,0.9865032,0.009926356,0.000367543,0.0004752212,0.00003434218,0.000228102,0.0004943255],"genre_scores_gemma":[0.8735906,0.0007718026,0.1250592,0.00004817254,0.0002530297,0.0001945795,0.00001115932,0.00002427498,0.00004715115],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8724157,"threshold_uncertainty_score":0.5186952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198431236471237,"score_gpt":0.2754995299243294,"score_spread":0.253515217559617,"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."}}