{"id":"W7162115541","doi":"10.13182/t140-48700","title":"Learning from Demonstration for Robotic Nuclear Waste Management: A DMP-Based Approach","year":2025,"lang":"","type":"article","venue":"Transactions of the American Nuclear Society","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Radioactive waste; Nuclear decommissioning; Nuclear power; Waste disposal; Robot","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004524497,0.0004319798,0.0006950171,0.000132075,0.001511536,0.0002546851,0.001932043,0.0001516399,0.00001930681],"category_scores_gemma":[0.00002760872,0.0004205302,0.001252157,0.002054538,0.001109311,0.0003056104,0.0001079837,0.0007749692,0.00001315355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417865,"about_ca_system_score_gemma":0.0001825616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003763159,"about_ca_topic_score_gemma":0.000001438277,"domain_scores_codex":[0.9968664,0.0003557529,0.0007047366,0.0009249935,0.0005262432,0.000621888],"domain_scores_gemma":[0.9973327,0.0003473355,0.0007521113,0.001289894,0.0001625957,0.0001153566],"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":[0.00008876323,0.0004639985,0.00006904767,0.0002773743,0.0009548133,6.792395e-7,0.00403421,0.9414827,0.001001497,0.001071314,0.0008035391,0.04975213],"study_design_scores_gemma":[0.001045737,0.0002592791,0.001210205,0.000310164,0.000761833,0.000001966859,0.008013342,0.987226,0.0001421986,0.0002192603,0.00045438,0.0003556114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009264724,0.00008081342,0.9856071,0.002103136,0.0007009366,0.001005155,0.00002448052,0.0002247991,0.0009887803],"genre_scores_gemma":[0.5709798,0.00005903209,0.4278262,0.0005534453,0.00003589873,0.00002397049,0.000004763393,0.00004747427,0.0004693675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5617151,"threshold_uncertainty_score":0.9998246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422667563885432,"score_gpt":0.2349969044107011,"score_spread":0.2207702287718467,"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."}}