{"id":"W2057889805","doi":"10.1007/s11548-009-0296-z","title":"Robot-assisted catheter manipulation for intracardiac navigation","year":2009,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Boston Scientific Corporation","keywords":"Catheter; Intracardiac injection; Computer science; Kinematics; Navigation system; Simulation; Biomedical engineering; Medicine; Artificial intelligence; Surgery; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002229722,0.0003510945,0.0002659626,0.00035065,0.0002647387,0.0003397339,0.0004094866,0.0005973508,0.002201031],"category_scores_gemma":[0.0005747955,0.0002172959,0.0002689683,0.0001823223,0.0002465542,0.0003657952,0.0003245921,0.0002990869,0.0006663034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020596,"about_ca_system_score_gemma":0.0002423576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004133766,"about_ca_topic_score_gemma":0.001033538,"domain_scores_codex":[0.9998186,0.00004983776,0.00001014124,0.00002858388,0.00008012526,0.00001273807],"domain_scores_gemma":[0.9997922,0.00009708769,0.00002580913,0.00003026232,0.00004008574,0.00001464038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007532286,0.0001216766,0.001961557,0.0004530797,0.00009022496,0.001501941,0.000266602,0.01151311,0.5804439,0.002773859,0.003917327,0.3962035],"study_design_scores_gemma":[0.0004951252,0.004181502,0.02714063,0.0002289744,0.0005173869,0.0285813,0.0001537995,0.3778055,0.4629073,0.003415654,0.09419033,0.0003824572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1749579,0.006904318,0.8026868,0.0003133326,0.0004116896,0.0001372326,0.0001104904,0.001897911,0.01258029],"genre_scores_gemma":[0.7356179,0.001177984,0.2567562,0.0001272951,0.0001376711,0.0001076746,0.00009483844,0.00009533129,0.005885001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002201031,"threshold_uncertainty_score":0.007363141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006402280833124,"score_gpt":0.2581642466478212,"score_spread":0.2381002238394899,"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."}}