{"id":"W2941837452","doi":"10.1097/01.ju.0000555247.96110.71","title":"PD08-02 IMMERSIVE VIRTUAL-REALITY FOR PERCUTANOUS NEPHROLITHOTOMY: IMPACT ON PATIENT EDUCATION, SURGICAL PLANNING AND TREATMENT OUTCOME","year":2019,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Outcome (game theory); Virtual reality; Human–computer interaction; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027229,0.0002581321,0.0002914843,0.0003478762,0.0002281938,0.001524348,0.0005283449,0.0005776652,0.06213474],"category_scores_gemma":[0.005043583,0.0001255679,0.0006409697,0.000195709,0.0002095052,0.000540166,0.001466223,0.0006590874,0.006970404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028214,"about_ca_system_score_gemma":0.0006706975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773267,"about_ca_topic_score_gemma":0.002568006,"domain_scores_codex":[0.9994125,0.0001547291,0.00003135513,0.00004296943,0.0002890487,0.00006942336],"domain_scores_gemma":[0.9975088,0.0008811646,0.000197531,0.0001533592,0.0006450631,0.0006140437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005778862,0.005562416,0.02969459,0.0007067797,0.0002179326,0.0005021761,0.0004417908,0.002212595,0.007416375,0.0006666797,0.1412883,0.8055115],"study_design_scores_gemma":[0.004240603,0.04905231,0.4622153,0.002061444,0.000983461,0.008175317,0.003135923,0.02340868,0.02783163,0.002425539,0.4158508,0.0006188796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8320349,0.004728294,0.009723586,0.006666922,0.00273644,0.0006859379,0.006716623,0.003494137,0.133213],"genre_scores_gemma":[0.8898361,0.004481974,0.01368261,0.002117977,0.0005776383,0.0006916007,0.007556651,0.0007152352,0.08034028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06213474,"threshold_uncertainty_score":0.2078614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298893948344915,"score_gpt":0.2922568110046416,"score_spread":0.2792678715211924,"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."}}