{"id":"W4413945025","doi":"10.1109/icra55743.2025.11128171","title":"ProDapt: Proprioceptive Adaptation Using Long-Term Memory Diffusion","year":2025,"lang":"en","type":"article","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Term (time); Adaptation (eye); Computer science; Proprioception; Diffusion; Long-term memory; Neuroscience; Psychology; Physics; Cognition","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":[0.0002361441,0.0001297593,0.0001248251,0.0002019195,0.0002406126,0.0001984352,0.00038261,0.00005939326,0.00006804153],"category_scores_gemma":[0.00006143846,0.0001137996,0.00005261728,0.0005608647,0.00004001908,0.0005528617,0.0002091598,0.0001377873,0.00005923659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008649834,"about_ca_system_score_gemma":0.0001685594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003351967,"about_ca_topic_score_gemma":0.00002180443,"domain_scores_codex":[0.9988313,0.00008724489,0.0002218244,0.00038441,0.0002572975,0.0002178748],"domain_scores_gemma":[0.999341,0.00005356904,0.00008950703,0.0003209242,0.0001358912,0.00005907728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004281449,0.0002573809,0.007592308,0.00009181186,0.0000551066,0.00003534447,0.008665896,0.006860072,0.02541128,0.1341249,0.0002655242,0.8165975],"study_design_scores_gemma":[0.0007593955,0.00005718135,0.05376929,0.0001198669,0.0000137164,0.000009440617,0.0006252832,0.9387864,0.003818421,0.001372449,0.0003914434,0.0002771533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1130355,0.00006791032,0.8680621,0.0004084096,0.0003371083,0.0002917263,1.59047e-7,0.0002479038,0.01754917],"genre_scores_gemma":[0.8979515,0.000007201146,0.09214187,0.0005756957,0.0000338746,0.00001271752,0.000002960986,0.000007333603,0.009266882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9319263,"threshold_uncertainty_score":0.4640615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061100004106649,"score_gpt":0.2848008820780001,"score_spread":0.2541898820369337,"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."}}