{"id":"W2078071525","doi":"10.1002/rcs.210","title":"Pre‐clinical remote telesurgery trial of a da Vinci telesurgery prototype","year":2008,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Telemedicine; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002570886,0.001006536,0.0007702048,0.0003557932,0.0007297529,0.0004098067,0.0009465709,0.0007457571,0.006163898],"category_scores_gemma":[0.00468166,0.0003515391,0.000426662,0.0001625745,0.0007524033,0.0006444879,0.0007006109,0.001078809,0.001148282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999452,"about_ca_system_score_gemma":0.000648529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005218782,"about_ca_topic_score_gemma":0.0009428953,"domain_scores_codex":[0.998752,0.0004157003,0.0001301407,0.0001808813,0.0003240109,0.0001973427],"domain_scores_gemma":[0.9967212,0.001080822,0.000316535,0.0004121122,0.000853891,0.0006153913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09945437,0.1434825,0.04604523,0.001828186,0.0004151241,0.005473937,0.003395492,0.02235445,0.397686,0.0007326244,0.006280624,0.2728514],"study_design_scores_gemma":[0.007102448,0.840124,0.04729595,0.00005190455,0.0001629295,0.002552699,0.0008806353,0.006233722,0.08825101,0.0001968224,0.007037099,0.0001108204],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992157,0.00005189448,0.003845049,0.00005354689,0.00004056931,0.00249953,0.00009225016,0.00008151948,0.001178569],"genre_scores_gemma":[0.9837925,0.00008250932,0.01053272,0.0001011013,0.00005500049,0.002697238,0.0003725193,0.00003942947,0.002326947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006163898,"threshold_uncertainty_score":0.02062029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036574568685327,"score_gpt":0.3774030598779839,"score_spread":0.2737456030094512,"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."}}