{"id":"W57377975","doi":"","title":"Input and output for surgical simulation: devices to measure tissue properties in vivo and a haptic interface for laparoscopy simulators.","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Haptic technology; Computer science; Imaging phantom; Simulation; Interface (matter); Stiffness; Property (philosophy); Human–computer interaction; Focus (optics); Biomedical engineering; Medicine; Engineering; Physics","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":[0.0003244954,0.0001369325,0.0003099416,0.00008363524,0.00006307204,0.00004987213,0.00003426172,0.00008794391,0.00004144245],"category_scores_gemma":[0.0002573968,0.0001075259,0.00003268732,0.0001200997,0.00004449248,0.00009716137,0.00001548173,0.00006575587,0.000001944759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003006506,"about_ca_system_score_gemma":0.00001471636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009775878,"about_ca_topic_score_gemma":0.00002662785,"domain_scores_codex":[0.9990065,0.00002460255,0.0002585921,0.0002857503,0.0001369941,0.0002876265],"domain_scores_gemma":[0.9991996,0.0003832835,0.00002768667,0.00009192073,0.00007018017,0.0002273817],"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":[0.006071318,0.0001918145,0.02675786,0.0004153381,0.00008394298,0.00001300069,0.002027705,0.02907429,0.00004932723,0.00009415391,0.00004920482,0.935172],"study_design_scores_gemma":[0.02229159,0.0005575437,0.07605089,0.0003150763,0.000153093,0.00002283156,0.0002730523,0.2478174,0.002348595,0.000150818,0.649471,0.0005480542],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943851,0.0006117732,0.0003129399,0.001046792,0.00004811354,0.002707177,0.000008329594,0.00005469462,0.0008250426],"genre_scores_gemma":[0.9969857,0.00000664017,0.0002518519,0.000379055,0.0001105413,0.0007811894,0.000002895026,0.00002069986,0.001461389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.934624,"threshold_uncertainty_score":0.4384779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06713402201886477,"score_gpt":0.30956160146319,"score_spread":0.2424275794443252,"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."}}