{"id":"W2386185567","doi":"10.1115/1.4033153","title":"A Resectoscope for Robot-Assisted Transurethral Surgery1","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Medicine; Perforation; Bladder cancer; Endoscope; URETEROSCOPE; Surgery; Computer science; Cancer; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008017741,0.000088728,0.0002422587,0.00009906166,0.00002766817,0.00002368963,0.0001828737,0.0001399404,0.000199712],"category_scores_gemma":[0.0003500631,0.00005132451,0.0001279223,0.000106153,0.00003341216,0.0001158496,0.000004605076,0.0001200001,0.000004342047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262495,"about_ca_system_score_gemma":0.00007251746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002970658,"about_ca_topic_score_gemma":0.00003526729,"domain_scores_codex":[0.9986373,0.00003818631,0.0004625879,0.00006280134,0.0006196558,0.0001795104],"domain_scores_gemma":[0.9990592,0.0004390306,0.00008586845,0.00006641873,0.0001309215,0.0002185307],"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":[0.0005630349,0.0003277762,0.007900707,0.00136102,0.0009203491,0.000401172,0.000514159,0.02831398,0.0490248,0.002846157,0.07616475,0.8316621],"study_design_scores_gemma":[0.02217074,0.002103361,0.09026752,0.01038404,0.000626881,0.0009938343,0.0003650386,0.326814,0.04911029,0.002899048,0.4923459,0.00191931],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1550893,0.001665351,0.8313132,0.009836558,0.001652199,0.0001164283,0.000008398759,0.00005658631,0.0002620271],"genre_scores_gemma":[0.9971985,0.0004434208,0.001713008,0.0001481567,0.0004369382,0.000001869909,0.000001360292,0.0000216251,0.00003506954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8421093,"threshold_uncertainty_score":0.2186706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472754792255186,"score_gpt":0.272939357314522,"score_spread":0.2482118093919701,"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."}}