{"id":"W2112160171","doi":"10.1109/icra.2011.5979810","title":"A distributed model for needle-tissue friction in percutaneous interventions","year":2011,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Component (thermodynamics); Computer science; Nonlinear system; Percutaneous; Bending; Imaging phantom; Dynamical friction; Mechanics; Simulation; Mechanical engineering; Control theory (sociology); Materials science; Engineering; Structural engineering; Physics; Artificial intelligence; Surgery; Composite material; Medicine","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":[0.00002228781,0.00005089096,0.00005625116,0.0000429449,0.00002369334,0.000007934989,0.00005212929,0.00003421435,0.00005607277],"category_scores_gemma":[0.00000644048,0.00005283083,0.00004065984,0.00009308232,0.000004994326,0.00003413189,0.000007363295,0.0000382547,0.00001579974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003088242,"about_ca_system_score_gemma":0.000002787551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000380427,"about_ca_topic_score_gemma":0.0001394109,"domain_scores_codex":[0.9996907,0.000001333329,0.000123348,0.00006632154,0.0000214888,0.00009677555],"domain_scores_gemma":[0.9998468,0.00001217702,0.000006971503,0.00009120644,0.00001654288,0.00002625673],"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":[0.000005755164,0.0001903625,0.0002100699,0.0001013301,0.00002786528,0.000002181622,0.00135405,0.9347886,0.005306392,0.05089579,0.003218219,0.003899346],"study_design_scores_gemma":[0.00007126327,0.00001146101,0.0003087331,0.00000954336,0.000008580808,0.000005971846,0.00008063763,0.994846,0.0004490877,0.003916704,0.0002239899,0.00006807056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02056748,0.0000267065,0.9765285,0.00002633568,0.00004443112,0.0001945043,0.00004069725,0.0001817892,0.002389582],"genre_scores_gemma":[0.971499,0.000008266788,0.028031,0.000006246322,0.00001032203,0.0001060216,0.00004328226,0.00001197831,0.0002839412],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9509315,"threshold_uncertainty_score":0.2154379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156594829889116,"score_gpt":0.2673001170015509,"score_spread":0.2057341687026598,"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."}}