{"id":"W2560102456","doi":"10.1007/s11517-016-1599-1","title":"A data-driven soft sensor for needle deflection in heterogeneous tissue using just-in-time modelling","year":2016,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deflection (physics); Computer science; Biomedical engineering; Soft tissue; Simulation; Engineering; Physics; Surgery; Optics; 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":[0.000374172,0.000206067,0.0003146313,0.0001216476,0.0000464198,0.00002439009,0.0003866192,0.000241457,0.0000250476],"category_scores_gemma":[0.0002443292,0.0001596459,0.00004522953,0.0002601219,0.00003097117,0.00005117737,0.0001571003,0.0002215253,0.00002552799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277949,"about_ca_system_score_gemma":0.00001696414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002108221,"about_ca_topic_score_gemma":0.00000418327,"domain_scores_codex":[0.9984725,0.00001793811,0.0004467797,0.0003871219,0.0001664272,0.0005092011],"domain_scores_gemma":[0.998977,0.0005667607,0.00003105865,0.0002540495,0.00002023021,0.0001508903],"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":[0.000003545885,0.00002724083,0.0006721693,0.00002736525,0.000009642802,0.000009130395,0.00002102489,0.980142,0.01285843,0.00003849039,0.0000109709,0.006180003],"study_design_scores_gemma":[0.0003686878,0.00002585768,0.0002566658,0.0001910465,0.000005989786,0.0000260563,0.000003962516,0.9977039,0.0004222444,0.00004210387,0.0007255725,0.0002279488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3971826,0.00009537099,0.6020991,0.00004577302,0.0001179997,0.0001682217,0.00001091021,0.0002725247,0.000007443934],"genre_scores_gemma":[0.9530198,0.000025671,0.04657291,0.00002854964,0.0002660163,0.00001555007,0.00002242499,0.00004534164,0.000003749265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5558372,"threshold_uncertainty_score":0.6510171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07324421338888178,"score_gpt":0.2961049356866355,"score_spread":0.2228607222977537,"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."}}