{"id":"W2063397754","doi":"10.1109/icra.2013.6630624","title":"Applied control of binary robots based on influence vectors","year":2013,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Actuator; Control theory (sociology); Robot; Position (finance); Computer science; Binary number; Coupling (piping); Reliability (semiconductor); Control engineering; Scheme (mathematics); Engineering; Control (management); Artificial intelligence; Mathematics; Mechanical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000233811,0.0004246449,0.0003255295,0.000316404,0.0002690114,0.0003962772,0.0004305608,0.0002275075,0.0006909667],"category_scores_gemma":[0.0007716432,0.000178929,0.0001921766,0.0001945193,0.0006672487,0.0002789079,0.0006952152,0.0002161183,0.0001020321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111849,"about_ca_system_score_gemma":0.0002742716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119985,"about_ca_topic_score_gemma":0.001520433,"domain_scores_codex":[0.9997762,0.00004404196,0.00001237512,0.00003186292,0.0001134216,0.00002208935],"domain_scores_gemma":[0.999756,0.00007984336,0.00007268156,0.00002520062,0.00004322501,0.0000229243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002927178,0.00008293283,0.0008645442,0.0002674779,0.00004773312,0.0002376481,0.0003792375,0.5520247,0.2641008,0.06285162,0.0005096872,0.1183409],"study_design_scores_gemma":[0.00001439418,0.0001505697,0.0003242809,0.00001003721,0.000007850664,0.00003399283,0.00001540161,0.9789473,0.01562544,0.003781624,0.001078077,0.00001110897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460784,0.0002807262,0.8475254,0.00009129912,0.00007864983,0.00005216932,0.00001408132,0.0002180024,0.005661385],"genre_scores_gemma":[0.963565,0.0001139645,0.03454392,0.00002242896,0.00001102167,0.00005549728,0.00001150478,0.00001021993,0.001666376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00119985,"threshold_uncertainty_score":0.002385736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004091812032189814,"score_gpt":0.1780001365468742,"score_spread":0.1739083245146844,"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."}}