{"id":"W4365142055","doi":"10.1007/s10514-023-10094-9","title":"DiSECt: a differentiable simulator for parameter inference and control in robotic cutting","year":2023,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; University of Toronto","funders":"Google","keywords":"Computer science; Slicing; Simulation; Controller (irrigation); Differentiable function; Solver; Stiffness; Robotics; Robot; Artificial intelligence; Computer graphics (images)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006657277,0.00069825,0.0006339698,0.0003693052,0.0003620821,0.0007375368,0.002088467,0.001541658,0.006866297],"category_scores_gemma":[0.002718099,0.0005565783,0.0006068439,0.0003125452,0.000727962,0.001002363,0.001538798,0.001945222,0.001218046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514817,"about_ca_system_score_gemma":0.001020233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005239391,"about_ca_topic_score_gemma":0.007018303,"domain_scores_codex":[0.9997656,0.00006632876,0.00001247381,0.00003613142,0.00009981248,0.00001967469],"domain_scores_gemma":[0.9992017,0.0004754411,0.00004561191,0.0001261141,0.00009174454,0.00005945874],"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":[0.0001929499,0.00007374377,0.000569766,0.0001002471,0.00002996167,0.0001054364,0.0000726902,0.9347861,0.004579355,0.01601604,0.00258566,0.04088803],"study_design_scores_gemma":[0.00001049315,0.00001200435,0.00002136144,0.000001922112,0.000001460771,0.000007669501,0.000001992308,0.9970674,0.000626165,0.001700757,0.0005465752,0.000002247251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01159014,0.00006416342,0.9809299,0.0001044325,0.00004644985,0.00005780122,0.0002831444,0.004752762,0.00217138],"genre_scores_gemma":[0.5269088,0.0001737266,0.4631364,0.0001824941,0.0000264587,0.00039871,0.0009150198,0.001469136,0.00678924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006866297,"threshold_uncertainty_score":0.02297008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060066404619508,"score_gpt":0.256513898686377,"score_spread":0.2359132346401819,"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."}}