{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342438,0.002050262,0.0009489146,0.001956646,0.0004572965,0.001982426,0.002435573,0.002302087,0.03168862],"category_scores_gemma":[0.008479015,0.001020267,0.0007874416,0.001178061,0.001041631,0.002805982,0.003032824,0.001346206,0.008251064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000477092,"about_ca_system_score_gemma":0.0004853062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003463247,"about_ca_topic_score_gemma":0.0003302361,"domain_scores_codex":[0.9976268,0.0005164296,0.000212675,0.0003455972,0.001224306,0.00007417748],"domain_scores_gemma":[0.9957237,0.002222648,0.0003409836,0.0007386109,0.0007341029,0.0002398597],"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":[0.002587825,0.0004352403,0.004178887,0.0020469,0.0001498406,0.001037505,0.001161048,0.009269666,0.2626644,0.0226908,0.1207809,0.572997],"study_design_scores_gemma":[0.0007222919,0.002465456,0.01151482,0.000992509,0.0003621976,0.005819916,0.0003740237,0.1813053,0.2936462,0.0205664,0.4814252,0.0008056753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01092446,0.002977391,0.9264245,0.0009818263,0.0008576608,0.0005886496,0.003637046,0.03882814,0.01478029],"genre_scores_gemma":[0.1959073,0.003420394,0.7507468,0.002859737,0.0004718614,0.002785528,0.005181457,0.004638207,0.0339886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03168862,"threshold_uncertainty_score":0.1060089,"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."}}