{"id":"W2118425057","doi":"10.1109/icsmc.2007.4413781","title":"Graphical representation of tactile sensing data in minimally invasive surgery","year":2007,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Teleoperation; Tactile sensor; Invasive surgery; Software; Computer vision; Computer science; Artificial intelligence; Haptic technology; Robot; Representation (politics); Robotic arm; Human–computer interaction; Surgery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618104,0.001162007,0.0005109308,0.001824227,0.0002165887,0.001455946,0.0009992674,0.0007177343,0.0497699],"category_scores_gemma":[0.003869255,0.0002630161,0.0004552169,0.000991461,0.0003811709,0.0009032049,0.0009484979,0.0005972679,0.007951046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026512,"about_ca_system_score_gemma":0.000290899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005762255,"about_ca_topic_score_gemma":0.0004948258,"domain_scores_codex":[0.9993837,0.0002407542,0.00005806006,0.00007038572,0.0002078206,0.00003938638],"domain_scores_gemma":[0.9979195,0.001200101,0.0001538196,0.000307328,0.0003000405,0.0001192573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002298273,0.0002198671,0.00209402,0.002356934,0.0001255209,0.00174954,0.0005867177,0.02209201,0.1611545,0.02510385,0.09536791,0.6868508],"study_design_scores_gemma":[0.0004853535,0.001135859,0.009428372,0.000953998,0.0002381559,0.003046381,0.0003552016,0.3330465,0.1849948,0.05757988,0.4083314,0.0004041301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01768591,0.001299293,0.9161649,0.0009124806,0.0007689271,0.0003032751,0.004662392,0.03850547,0.01969742],"genre_scores_gemma":[0.3487034,0.002807665,0.6111406,0.0009231278,0.0004731882,0.0009892049,0.007373273,0.003210409,0.02437909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0497699,"threshold_uncertainty_score":0.1664969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286812707485822,"score_gpt":0.3559077343906453,"score_spread":0.2272264636420631,"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."}}