{"id":"W4391571990","doi":"10.3389/frobt.2024.1281060","title":"Active learning strategies for robotic tactile texture recognition tasks","year":2024,"lang":"en","type":"article","venue":"Frontiers in Robotics and AI","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Leverage (statistics); Artificial intelligence; Robot; Machine learning; Pipeline (software); Process (computing)","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":[0.00007222912,0.0001227623,0.0001486076,0.0001632605,0.00006919626,0.000202459,0.00003758863,0.0001014671,0.00001781818],"category_scores_gemma":[0.00001996919,0.0001268976,0.00003862817,0.0001495029,0.00001892613,0.0002940767,0.000008977594,0.0003791398,0.000005805504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004911406,"about_ca_system_score_gemma":0.00001839399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004169146,"about_ca_topic_score_gemma":0.000005500561,"domain_scores_codex":[0.9994338,0.000017905,0.0001371023,0.0001626627,0.00006158859,0.00018691],"domain_scores_gemma":[0.9998331,0.00004377773,0.000014242,0.00004937084,0.00001982576,0.0000396638],"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":[0.00000644097,0.000004270417,0.0002491694,0.0001607795,0.00003119152,0.000004606914,0.0005850322,0.9591811,0.00007739331,0.0006248153,0.004262024,0.03481319],"study_design_scores_gemma":[0.0001701756,0.00003109963,0.0006661245,0.0001277628,0.00002327151,0.000003423489,0.001473138,0.9888548,0.00002952753,0.003859039,0.004593062,0.0001685324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001462217,0.001473526,0.9937181,0.0002035716,0.001309429,0.0001746773,0.000001392569,0.0002252412,0.0014318],"genre_scores_gemma":[0.9861782,0.0001935607,0.01294129,0.00004084508,0.0001436124,0.00002025148,0.0000623624,0.0000413458,0.0003785612],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9847159,"threshold_uncertainty_score":0.5174733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506080987834742,"score_gpt":0.2412504168598529,"score_spread":0.2261896069815055,"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."}}