{"id":"W4413337119","doi":"10.1186/s10033-025-01299-3","title":"Physics-Informed Graph Learning for Shape Prediction in Robot Manipulate of Deformable Linear Objects","year":2025,"lang":"en","type":"article","venue":"Chinese Journal of Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Robot; Physics; Graph; Artificial intelligence; Computer science; Computer vision; Theoretical computer science","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":[0.0003924002,0.0002104309,0.0004968513,0.00032453,0.00002832722,0.00001549473,0.0001860281,0.0001381951,0.000007041273],"category_scores_gemma":[0.0003043345,0.0001765299,0.000219839,0.0004922025,0.000005854968,0.0002645185,0.00003568796,0.0004556207,6.77935e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115756,"about_ca_system_score_gemma":0.00004700218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002346101,"about_ca_topic_score_gemma":0.000003453833,"domain_scores_codex":[0.9986553,0.000008536475,0.0007837513,0.0000963795,0.000183236,0.0002728108],"domain_scores_gemma":[0.9994073,0.0001576582,0.0001307762,0.000116451,0.0001061683,0.00008163189],"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":[0.0000391457,0.00002387955,0.0001048634,0.0004735393,0.0000758183,0.000003910104,0.00007039252,0.9721802,0.02266969,0.002892793,0.00000657764,0.001459132],"study_design_scores_gemma":[0.001082639,0.000136145,0.0004662651,0.0004502829,0.00003539021,0.00001596505,0.00003066742,0.9909959,0.003607008,0.003033651,0.0000190893,0.0001270018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283308,0.0001622926,0.8702911,0.00001202824,0.0008824624,0.0001528123,0.000002370292,0.00006441399,0.000101739],"genre_scores_gemma":[0.9317815,0.0001233223,0.06786612,0.000008153589,0.0001410052,0.000008017401,0.000005436644,0.00003667979,0.00002974114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8034508,"threshold_uncertainty_score":0.7198681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007634507023928775,"score_gpt":0.2275828650098426,"score_spread":0.2199483579859138,"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."}}