{"id":"W4404953110","doi":"10.1109/tie.2024.3503610","title":"Robust and Adaptive Dexterous Manipulation With Vision-Based Learning From Multiple Demonstrations","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009058135,0.0002073351,0.0001520369,0.0002051738,0.000266844,0.0001805652,0.00005304967,0.0002089405,0.00009617134],"category_scores_gemma":[0.000006558324,0.000204541,0.00005225865,0.0003641944,0.00003315149,0.0002525054,4.432427e-7,0.001116839,0.00002542977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996882,"about_ca_system_score_gemma":0.0001099462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007062102,"about_ca_topic_score_gemma":0.000425694,"domain_scores_codex":[0.9989913,0.000063372,0.0002206553,0.0002771208,0.0001868875,0.0002606651],"domain_scores_gemma":[0.9994575,0.0002914879,0.00002599096,0.0001137337,0.0000291727,0.00008205597],"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":[0.00007685459,0.00001901481,0.00006764549,0.000005898532,0.00007373064,0.000004744472,0.0001005483,0.9669828,0.0007478157,0.00007799813,0.00003909793,0.0318038],"study_design_scores_gemma":[0.0007438793,0.0003312996,0.0001324905,0.0001150032,0.00008226067,0.000006216258,0.00006136312,0.994931,0.002253869,0.00002661575,0.001085746,0.0002302979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06264407,0.0002495618,0.9356016,0.00008619636,0.0003497673,0.0002401905,0.000004869684,0.000664843,0.0001588915],"genre_scores_gemma":[0.998249,0.00003817882,0.001355505,0.00001538949,0.0001234075,0.00003697038,0.00002934172,0.00006117184,0.00009105726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9356049,"threshold_uncertainty_score":0.834094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04442246983623478,"score_gpt":0.2230136473647985,"score_spread":0.1785911775285637,"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."}}