{"id":"W2388461269","doi":"","title":"Projecting beam model for robot-assisted flexible needle insertion","year":2011,"lang":"en","type":"article","venue":"Journal of Tsinghua University(Science and Technology)","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Deflection (physics); Robot; Path (computing); Free space; Motion planning; Process (computing); Obstacle avoidance; Obstacle; Computer science; Engineering; Simulation; Biomedical engineering; Materials science; Artificial intelligence; Mobile robot; Physics; Optics","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":[0.0002690943,0.0004579273,0.0004522967,0.0002554566,0.0002566034,0.0004219132,0.001053251,0.0009871969,0.002170969],"category_scores_gemma":[0.0005535257,0.0004144949,0.0006876932,0.0003760868,0.00037304,0.0007412272,0.0004670094,0.0007299908,0.0005826689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297806,"about_ca_system_score_gemma":0.0008173757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008072698,"about_ca_topic_score_gemma":0.003403421,"domain_scores_codex":[0.9998711,0.00003072999,0.000005421198,0.0000210448,0.00005744712,0.00001421026],"domain_scores_gemma":[0.9998183,0.00007219696,0.00002430464,0.00001450248,0.00005989822,0.0000108553],"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":[0.00002047848,0.000008374014,0.0002916646,0.00002747866,0.00001053696,0.00007631069,0.00005102592,0.9784136,0.004573047,0.005878839,0.0003016169,0.01034709],"study_design_scores_gemma":[0.000001581798,0.000006790196,0.00003824043,0.000001762211,0.000001686394,0.000009906764,0.000002676632,0.9990605,0.0002253931,0.0004709203,0.0001771462,0.000003467177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006744425,0.0001274537,0.9909874,0.0000550234,0.0000173724,0.00001671393,0.000040247,0.000189446,0.00182183],"genre_scores_gemma":[0.7603786,0.001289141,0.2259023,0.0001506759,0.00003587197,0.0004302752,0.0003396479,0.0001605579,0.01131293],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008072698,"threshold_uncertainty_score":0.01605141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786005890901849,"score_gpt":0.2155717395604563,"score_spread":0.1777116806514378,"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."}}