{"id":"W2998475224","doi":"10.1109/access.2019.2962636","title":"Tactile Sensors for Minimally Invasive Surgery: A Review of the State-of-the-Art, Applications, and Perspectives","year":2019,"lang":"en","type":"review","venue":"IEEE Access","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Invasive surgery; Magnetic resonance imaging; Computer science; Minimally invasive procedures; Palpation; Perception; Surgery; Medical physics; Artificial intelligence; Medicine; Radiology; Psychology","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":[0.0006733936,0.0008330715,0.000930402,0.002844845,0.0002757199,0.0009796759,0.0007884811,0.001092378,0.003164917],"category_scores_gemma":[0.0008142693,0.0003986425,0.0006580072,0.003005347,0.0004009406,0.001617948,0.0004812982,0.001068515,0.001334874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003589628,"about_ca_system_score_gemma":0.0008256425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000743151,"about_ca_topic_score_gemma":0.0009937476,"domain_scores_codex":[0.999631,0.00004758012,0.00005419635,0.00006719799,0.0001754423,0.00002448344],"domain_scores_gemma":[0.9993535,0.0003788741,0.00007703294,0.00001700783,0.0001520341,0.00002151511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004949295,0.000100911,0.0003208898,0.03023158,0.00005915362,0.0001812369,0.0001079779,0.000663026,0.007464138,0.004831211,0.01251028,0.9434801],"study_design_scores_gemma":[0.00001132272,0.0002935688,0.002195918,0.00756819,0.0002035762,0.0024313,0.0002332022,0.0007520473,0.004415812,0.003593103,0.9782369,0.00006503033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003438486,0.9971697,0.0005226362,0.0001676658,0.0001610134,0.000006502529,0.00001753983,0.00001001297,0.001601106],"genre_scores_gemma":[0.001989704,0.9964712,0.0006219818,0.0001124255,0.0001633281,0.000008425796,0.0000224115,0.000002346709,0.0006082589],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003164917,"threshold_uncertainty_score":0.01058769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06527829405541308,"score_gpt":0.3208563536991865,"score_spread":0.2555780596437734,"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."}}