{"id":"W2523942329","doi":"10.1109/aim.2016.7576933","title":"Constrained optimal control of needle deflection for semi-manual steering","year":2016,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Brachytherapy; Imaging phantom; Prostate brachytherapy; Bevel; Computer science; Deflection (physics); Biomedical engineering; Radiation therapy; Nuclear medicine; Surgery; Medicine; Engineering; Physics; Optics; Mechanical engineering","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":[0.0005995433,0.0009043778,0.0006537296,0.0002435879,0.0002587701,0.0006884476,0.0005352966,0.0006971532,0.001208473],"category_scores_gemma":[0.001494105,0.0004080917,0.000423752,0.0001938736,0.0007586986,0.0003096661,0.0007305869,0.0005428155,0.0001847726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004470034,"about_ca_system_score_gemma":0.001026701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007380839,"about_ca_topic_score_gemma":0.00543651,"domain_scores_codex":[0.9996837,0.0000910099,0.00001176453,0.00007516,0.000091466,0.00004675255],"domain_scores_gemma":[0.9992976,0.0004128475,0.0001051608,0.00003326085,0.0001154679,0.00003567419],"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":[0.00009929327,0.00002880016,0.0001376698,0.00005176125,0.00001728942,0.00004235914,0.00005025737,0.9757106,0.006631791,0.00245691,0.0002500857,0.01452333],"study_design_scores_gemma":[0.00001084277,0.00004205526,0.00007990633,0.000002323424,0.000002536513,0.000005053564,0.000003085878,0.9988475,0.0004812399,0.0003582062,0.0001633302,0.000003845246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04265492,0.0001914258,0.9534128,0.00008742583,0.00003755802,0.00004774112,0.00002764541,0.0002851815,0.003255297],"genre_scores_gemma":[0.9612042,0.00009897185,0.03652078,0.00004444971,0.00001339952,0.0000989679,0.00003278401,0.00003333078,0.001953113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007380839,"threshold_uncertainty_score":0.01467574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009286197770763565,"score_gpt":0.2309171640421391,"score_spread":0.2216309662713755,"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."}}