{"id":"W2082983068","doi":"10.1002/rcs.308","title":"New tactile sensing system for minimally invasive surgical tumour localization","year":2010,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Ethicon Endo-Surgery","keywords":"Ex vivo; Imaging phantom; Haptic technology; Biomedical engineering; Occult; Invasive surgery; Computer science; In vivo; Medicine; Surgery; Nuclear medicine; Pathology; Artificial intelligence; Biology","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":[0.0004361231,0.0001196175,0.0002667985,0.0001629817,0.00004665085,0.0001384924,0.0002261389,0.0001470474,0.00001704994],"category_scores_gemma":[0.0001510904,0.0001073618,0.0001458361,0.00008536615,0.00003195713,0.00008455965,0.00004501993,0.0002953335,0.000001875869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004131444,"about_ca_system_score_gemma":0.0002235739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000679028,"about_ca_topic_score_gemma":0.00001028559,"domain_scores_codex":[0.9984992,0.00001794816,0.0005772952,0.000108592,0.0006544294,0.000142495],"domain_scores_gemma":[0.9979411,0.001119592,0.0001665187,0.0000719094,0.0003898434,0.0003110181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001914566,0.0003158882,0.006611621,0.0004323325,0.001660899,0.0018777,0.0003246739,0.2122422,0.003653488,0.02287703,0.08748046,0.6623323],"study_design_scores_gemma":[0.001032689,0.00003816753,0.002961457,0.0005483684,0.00006540417,0.003198888,0.00004445053,0.9780328,0.0009001839,0.0003207653,0.01259973,0.0002571468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04005035,0.00008869779,0.9533719,0.001691437,0.004625024,0.00006224153,0.000005266385,0.00004670626,0.00005837904],"genre_scores_gemma":[0.9597825,0.0001047925,0.03728598,0.0001093333,0.002665803,0.000001153962,0.00001821567,0.00002467038,0.000007574259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9197322,"threshold_uncertainty_score":0.4378088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429461237736551,"score_gpt":0.2490342302685747,"score_spread":0.2347396178912092,"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."}}